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ICLR2025-Papers-with-Code

历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

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创建于 2024-05-14 · 更新于 2026-10-15 · 今日第 16462 名
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yinizhilian

yinizhilian/ICLR2025-Papers-with-Code 排名第 16,462，有 590 个星标。

同类别比较

yinizhilian/ICLR2025-Papers-with-Code 排名第 16,462，此处有 8 个同类条目；wendell0218/Awesome-RL-for-Video-Generation 排名第 16,461。

同类别比较
名称排名指标
ai4co/awesome-fm4co16,408
星标数:
593
分叉数:
46
简介:
Recent research papers about Foundation Models for Combinatorial Optimization
OmicsML/awesome-foundation-model-single-cell-papers16,418
星标数:
592
分叉数:
65
changwookjun/nlp-paper16,424
星标数:
592
分叉数:
122
简介:
NLP Paper
wendell0218/Awesome-RL-for-Video-Generation16,461
星标数:
590
分叉数:
3
简介:
A curated list of papers on reinforcement learning for video generation
youart-open-source/awesome-gpt-image-2-5-prompts16,463
语言:
JavaScript
星标数:
590
分叉数:
42
简介:
GPT Image 2.5 prompts, verbatim and credited: 150 community prompts across 9 use cases, each with the author who wrote it and their post. Free to run.
DmitryRyumin/AAAI-2024-Papers16,465
语言:
Python
星标数:
589
分叉数:
26
简介:
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
EdisonLeeeee/Graph-Adversarial-Learning16,483
语言:
Python
星标数:
588
分叉数:
74
简介:
A curated collection of adversarial attack and defense on graph data.
SwiftBrain/awesome-CoreML-models16,486
星标数:
588
分叉数:
62
简介:
Collection of models for Core ML
关键参数与规格
关键参数与规格
参数值
类别Lists
子类别Paper collections
星标数590
分叉数35
贡献者1
创建日期2024-05-14
更新日期2026-10-15
1 天星标数0
7 天星标数1
排名16,462
上次排名6,830
排名变化-9,632
7 天星标排名11,244
上次 7 天星标排名11,300
7 天星标排名变化56
总星标排名16,998
上次总星标排名16,962
总星标排名变化-36
README 摘录

ICLR 2025 论文和开源项目合集 >本仓库旨在收集ICLR最新研究进展，尤其是LLM方面，涉及NLP领域的各个方向，此项目长期不定时更新。 >知乎地址：**ShuYini** >微信公众号: **AINLPer**（**每日更新，欢迎关注**） >另外也欢迎大家进入AINLPer

星球，每天推送最新、最优质论文，紧跟AIGC大模型前沿进展；另外星球也特设大模型Agent、大模型推理、RAG系统搭建、热门综述、大模型实操、数据集、测试基准、行业发展状况、大厂工作内推等专栏。 详细介绍→： >感

兴趣的小伙伴，赶快扫描下方⬇二维码，新用户加入更有**50元**优惠券🔖，每年仅需**49**！ >​ 💎💎💎💎💎💎💎💎💎💎💎💎💎💎 历年ICLR 论文和开源项目合集 **ICLR 2024 论文和开源项目合集** **ICLR 2023 论文和开源项目合集** **ICLR 2022 论文和开源项目合集** **ICLR 2021 论

文和开源项目合集** Accept Spotlight 1、How new data permeates LLM knowledge and how to dilute it Paper: **点击下载** Code: 2、JudgeLM: Fine-tuned Large Language Models are Scalable Judges Paper: **点击下载** Code: 3、MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Paper: **点击下载** Code: huggingface. Paper: **点击下载** Code: 41、On Quantizing Neural Representation for Variable-Rate Video

Coding Paper: **点击下载** Code: 42、Attention with Markov: A Curious Case of Single-layer Transformers Paper: **点击下载** Code: 43、A Second-Order Perspective on Model Compositionality and Incremental Learning Paper: **点击下载** Code: 44、Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision Paper: **点击下载** Code: 45、EmbedLLM: Learning Compact Representations of Large Language Models Paper: **点击下载** Code: 46、Lean-STaR: Learning to Interleave

Thinking and Proving Paper: **点击下载** Code: 47、NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Paper: **点击下载** Code: 48、DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Paper: **点击下载** Code: 49、Representative Guidance: Diffusion Model Sampling with Coherence Paper: **点击下载** Code: 50、Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Paper: **点击下载** Code: 51、InverseBench

: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences Paper: **点击下载** Code: 52、Revisiting

常见问题

记录了多少星标和分叉？

yinizhilian/ICLR2025-Papers-with-Code 有 590 个星标和 35 个分叉。

仓库排名是多少？

yinizhilian/ICLR2025-Papers-with-Code 排名第 16,462。

哪个仓库排名最接近？

yinizhilian/ICLR2025-Papers-with-Code 与 wendell0218/Awesome-RL-for-Video-Generation 比较，后者排名第 16,461，有 590 个星标。

README

ICLR 2025 论文和开源项目合集

本仓库旨在收集ICLR最新研究进展，尤其是LLM方面，涉及NLP领域的各个方向，此项目长期不定时更新。 欢迎watch和fork！不过给个star⭐就更好了❤️。 知乎地址：ShuYini 微信公众号: AINLPer（每日更新，欢迎关注）

另外也欢迎大家进入AINLPer星球，每天推送最新、最优质论文，紧跟AIGC大模型前沿进展；另外星球也特设大模型Agent、大模型推理、RAG系统搭建、热门综述、大模型实操、数据集、测试基准、行业发展状况、大厂工作内推等专栏。详细介绍→：https://mp.weixin.qq.com/s/wHnm9ek4ojYTA_2EPLNILw

感兴趣的小伙伴，赶快扫描下方⬇二维码，新用户加入更有50元优惠券🔖，每年仅需49！

​ 💎💎💎💎💎💎💎💎💎💎💎💎💎💎

历年ICLR 论文和开源项目合集

Accept Spotlight

1、How new data permeates LLM knowledge and how to dilute it

2、JudgeLM: Fine-tuned Large Language Models are Scalable Judges

3、MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations

4、Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws

5、Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence

6、Robustness Reprogramming for Representation Learning

7、LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation

8、DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life

9、Learning-Augmented Frequent Directions

10、Quality Measures for Dynamic Graph Generative Models

11、Holistically Evaluating the Environmental Impact of Creating Language Models

12、Mixture-of-Agents Enhances Large Language Model Capabilities

13、Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions

14、TopoNets: High performing vision and language models with brain-like topography

15、INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

16、Vision Language Models are In-Context Value Learners

17、Wasserstein Distances, Neuronal Entanglement, and Sparsity

18、WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

19、Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI

20、Multi-session, multi-task neural decoding from distinct cell-types and brain regions

21、Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering

22、AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

23、BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

24、Online Reinforcement Learning in Non-Stationary Context-Driven Environments

25、CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models

26、TabWak: A Watermark for Tabular Diffusion Models

27、Generating Freeform Endoskeletal Robots

28、AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies

29、DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback

30、LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models

31、Exact Certification of (Graph) Neural Networks Against Label Poisoning

32、Test-time Adaptation for Cross-modal Retrieval with Query Shift

33、In Search of Forgotten Domain Generalization

34、TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning

35、Harnessing Diversity for Important Data Selection in Pretraining Large Language Models

36、CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series

37、Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning

38、Progressive Compositionality in Text-to-Image Generative Models

39、Benchmarking Predictive Coding Networks -- Made Simple

40、Can Watermarked LLMs be Identified by Users via Crafted Prompts?

41、On Quantizing Neural Representation for Variable-Rate Video Coding

42、Attention with Markov: A Curious Case of Single-layer Transformers

43、A Second-Order Perspective on Model Compositionality and Incremental Learning

44、Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision

45、EmbedLLM: Learning Compact Representations of Large Language Models

46、Lean-STaR: Learning to Interleave Thinking and Proving

47、NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

48、DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models

49、Representative Guidance: Diffusion Model Sampling with Coherence

50、Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling

51、InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences

52、Revisiting Random Walks for Learning on Graphs

53、DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference

54、Control-oriented Clustering of Visual Latent Representation

55、AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories

56、Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification

57、X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale

58、Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

59、Bilinear MLPs enable weight-based mechanistic interpretability

60、Can Large Language Models Understand Symbolic Graphics Programs?

61、AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials

62、Advantage-Guided Distillation for Preference Alignment in Small Language Models

63、Simplifying Deep Temporal Difference Learning

64、SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding

65、Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics

66、Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space

67、The Superposition of Diffusion Models Using the Itô Density Estimator

68、MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds

69、Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment

70、IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

71、RegMix: Data Mixture as Regression for Language Model Pre-training

72、When Attention Sink Emerges in Language Models: An Empirical View

73、PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance

74、Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating

75、Streamlining Redundant Layers to Compress Large Language Models

76、SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints

77、Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach

78、Learning Spatiotemporal Dynamical Systems from Point Process Observations

79、Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation

80、Uncovering Gaps in How Humans and LLMs Interpret Subjective Language

81、SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION

82、Demystifying the Token Dynamics of Deep Selective State Space Models

83、Knowledge Localization: Mission Not Accomplished? Enter Query Localization!

84、Realistic Evaluation of Deep Partial-Label Learning Algorithms

85、Graph Sparsification via Mixture of Graphs

86、RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression

87、MixEval-X: Any-to-any Evaluations from Real-world Data Mixture

88、DEEM: Diffusion models serve as the eyes of large language models for image perception

89、BodyGen: Advancing Towards Efficient Embodiment Co-Design

90、Diffusion Bridge AutoEncoders for Unsupervised Representation Learning

91、Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models

92、Grounding Video Models to Actions through Goal Conditioned Exploration

93、Dense Video Object Captioning from Disjoint Supervision

94、RESuM: A Rare Event Surrogate Model for Physics Detector Design

95、DeLLMa: Decision Making Under Uncertainty with Large Language Models

96、Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

97、A Periodic Bayesian Flow for Material Generation

98、SplatFormer: Point Transformer for Robust 3D Gaussian Splatting

99、Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs

100、Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation

101、Towards Marginal Fairness Sliced Wasserstein Barycenter

102、Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion

103、Following the Human Thread in Social Navigation

104、OS-ATLAS: Foundation Action Model for Generalist GUI Agents

105、Student-Informed Teacher Training

106、Preference Optimization for Reasoning with Pseudo Feedback

107、OmniRe: Omni Urban Scene Reconstruction

108、Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

109、Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage

110、Multi-Field Adaptive Retrieval

111、On Disentangled Training for Nonlinear Transform in Learned Image Compression

112、MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

113、ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

114、Towards General-Purpose Model-Free Reinforcement Learning

115、Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research

116、Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

117、SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

118、Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

119、Diffusion On Syntax Trees For Program Synthesis

120、Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

121、A CLIP-Powered Framework for Robust and Generalizable Data Selection

122、Fine-tuning with Reserved Majority for Noise Reduction

123、GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

124、Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation

125、Test-time Alignment of Diffusion Models without Reward Over-optimization

126、ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences

127、LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

128、LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

129、Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

130、GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks

131、Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance

132、Recovering Manifold Structure Using Ollivier Ricci Curvature

133、AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations

134、Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models

135、MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

136、Atlas Gaussians Diffusion for 3D Generation

137、Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

138、Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

139、Programming Refusal with Conditional Activation Steering

140、Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

141、CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

142、ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction

143、D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement

144、Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization

145、Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training

146、DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control

147、ThinK: Thinner Key Cache by Query-Driven Pruning

148、4K4DGen: Panoramic 4D Generation at 4K Resolution

149、RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

150、ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

151、Severing Spurious Correlations with Data Pruning

152、MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion

153、Hymba: A Hybrid-head Architecture for Small Language Models

154、Training-Free Activation Sparsity in Large Language Models

155、Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

156、CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation

157、Poison-splat: Computation Cost Attack on 3D Gaussian Splatting

158、Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

159、Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier

160、TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

161、Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data

162、Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

163、LiveBench: A Challenging, Contamination-Limited LLM Benchmark

164、Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion

165、Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

166、MRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers

167、SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

168、DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo

169、Beyond Next Token Prediction: Patch-Level Training for Large Language Models

170、LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

171、LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

172、Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation

173、One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

174、MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility

175、UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

176、DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes

177、Instance-dependent Early Stopping

178、Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation

179、SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models

Accept Poster

1、Self-supervised contrastive learning performs non-linear system identification

2、Sparse autoencoders reveal selective remapping of visual concepts during adaptation

3、Multi-Label Test-Time Adaptation with Bound Entropy Minimization

4、TabM: Advancing tabular deep learning with parameter-efficient ensembling

5、ToolGen: Unified Tool Retrieval and Calling via Generation

6、Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

7、Video Action Differencing

8、Optimal Transport for Time Series Imputation

9、RaSA: Rank-Sharing Low-Rank Adaptation

10、Offline Model-Based Optimization by Learning to Rank

11、From Search to Sampling: Generative Models for Robust Algorithmic Recourse

12、Monte Carlo Planning with Large Language Model for Text-Based Game Agents

13、Robust Root Cause Diagnosis using In-Distribution Interventions

14、Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems

15、SimulPL: Aligning Human Preferences in Simultaneous Machine Translation

16、SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation

17、Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations

18、ADAM: An Embodied Causal Agent in Open-World Environments

19、Beware of Calibration Data for Pruning Large Language Models

20、Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping

21、Herald: A Natural Language Annotated Lean 4 Dataset

22、HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere

23、DPLM-2: A Multimodal Diffusion Protein Language Model

24、Language Imbalance Driven Rewarding for Multilingual Self-improving

25、Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

26、Distribution-Free Data Uncertainty for Neural Network Regression

27、LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models

28、SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization

29、Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks

30、Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms

31、Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count

32、One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning

33、URLOST: Unsupervised Representation Learning without Stationarity or Topology

34、Charting the Design Space of Neural Graph Representations for Subgraph Matching

35、Distilling Dataset into Neural Field

36、SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments

37、SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

38、Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions

39、GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks

40、Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition

41、How to Evaluate Reward Models for RLHF

42、An Efficient Framework for Crediting Data Contributors of Diffusion Models

43、You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning

44、SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

45、FreDF: Learning to Forecast in the Frequency Domain

46、Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs

47、Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

48、Ensembling Diffusion Models via Adaptive Feature Aggregation

49、Model merging with SVD to tie the Knots

50、Making Text Embedders Few-Shot Learners

51、PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph

52、SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

53、Searching for Optimal Solutions with LLMs via Bayesian Optimization

54、Adversarial Generative Flow Network for Solving Vehicle Routing Problems

55、LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement

56、Lawma: The Power of Specialization for Legal Annotation

57、Stiefel Flow Matching for Moment-Constrained Structure Elucidation

58、No Preference Left Behind: Group Distributional Preference Optimization

59、Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis

60、Agent S: An Open Agentic Framework that Uses Computers Like a Human

61、Semi-Parametric Retrieval via Binary Bag-of-Tokens Index

62、PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations

63、Hyperbolic Genome Embeddings

64、RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs

65、Attributing Culture-Conditioned Generations to Pretraining Corpora

66、Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

67、DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory

68、Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity

69、A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement

70、ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks

71、Generalized Behavior Learning from Diverse Demonstrations

72、DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models

73、Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL

74、Safety-Prioritizing Curricula for Constrained Reinforcement Learning

75、Towards Federated RLHF with Aggregated Client Preference for LLMs

76、MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis

77、Physics of Language Models: Part 3.2, Knowledge Manipulation

78、On Calibration of LLM-based Guard Models for Reliable Content Moderation

79、Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

80、Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

81、Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

82、Agent-Oriented Planning in Multi-Agent Systems

83、Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images

84、Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

85、ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

86、STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning

87、Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data

88、Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection

89、Learning Efficient Positional Encodings with Graph Neural Networks

90、Scalable Influence and Fact Tracing for Large Language Model Pretraining

91、Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement

92、Diffusion State-Guided Projected Gradient for Inverse Problems

93、PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS

94、Generating CAD Code with Vision-Language Models for 3D Designs

95、MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

96、Forgetting Transformer: Softmax Attention with a Forget Gate

97、ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

98、GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

99、Score-based Self-supervised MRI Denoising

100、ProteinBench: A Holistic Evaluation of Protein Foundation Models

101、LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid

102、Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search

103、GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers

104、LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

105、Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

106、EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing

107、MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

108、Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

109、What's the Move? Hybrid Imitation Learning via Salient Points

110、LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality

111、Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention

112、Conformal Language Model Reasoning with Coherent Factuality

113、Dissecting Adversarial Robustness of Multimodal LM Agents

114、ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

115、More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing

116、In-context Time Series Predictor

117、Discovering Influential Neuron Path in Vision Transformers

118、Directional Gradient Projection for Robust Fine-Tuning of Foundation Models

119、AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents

120、Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing

121、L3Ms — Lagrange Large Language Models

122、ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models

123、Human-inspired Episodic Memory for Infinite Context LLMs

124、ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization

125、Object-Centric Pretraining via Target Encoder Bootstrapping

126、Lossy Compression with Pretrained Diffusion Models

127、Modality-Specialized Synergizers for Interleaved Vision-Language Generalists

128、Self-Normalized Resets for Plasticity in Continual Learning

129、Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning

130、CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking

131、On Linear Representations and Pretraining Data Frequency in Language Models

132、Quantifying Generalization Complexity for Large Language Models

133、Real2Code: Reconstruct Articulated Objects via Code Generation

134、{$\tau$}-bench: A Benchmark for \underline{T}ool-\underline{A}gent-\underline{U}ser Interaction in Real-World Domains

135、DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.

136、What Matters in Learning from Large-Scale Datasets for Robot Manipulation

137、APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding

138、Differentiable Optimization of Similarity Scores Between Models and Brains

139、Chunk-Distilled Language Modeling

140、GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning

141、NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions

142、The Value of Sensory Information to a Robot

143、Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning

144、HelpSteer2-Preference: Complementing Ratings with Preferences

145、Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images

146、Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

147、Palu: KV-Cache Compression with Low-Rank Projection

148、Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity

149、Many-Objective Multi-Solution Transport

150、Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning

151、Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization

152、InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling

153、Can Knowledge Editing Really Correct Hallucinations?

154、BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis

155、ALLaM: Large Language Models for Arabic and English

156、Improving Graph Neural Networks by Learning Continuous Edge Directions

157、SiReRAG: Indexing Similar and Related Information for Multihop Reasoning

158、Eliciting Human Preferences with Language Models

159、Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework

160、Chemistry-Inspired Diffusion with Non-Differentiable Guidance

161、Aligning Language Models with Demonstrated Feedback

162、Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

163、SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models

164、InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma

165、The Pitfalls of Memorization: When Memorization Hurts Generalization

166、See It from My Perspective: How Language Affects Cultural Bias in Image Understanding

167、Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion

168、Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset

169、Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control

170、Cauchy-Schwarz Regularizers

171、HELMET: How to Evaluate Long-context Models Effectively and Thoroughly

172、R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference

173、A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations

174、Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF

175、MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS

176、Procedural Synthesis of Synthesizable Molecules

177、Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning

178、Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?

179、DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

180、Teaching LLMs How to Learn with Contextual Fine-Tuning

181、An Undetectable Watermark for Generative Image Models

182、STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning

183、Residual Stream Analysis with Multi-Layer SAEs

184、Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups

185、Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians

186、On the Transfer of Object-Centric Representation Learning

187、Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement

188、OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination

189、Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks

190、MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions

191、Efficient Active Imitation Learning with Random Network Distillation

192、Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation

193、MatExpert: Decomposing Materials Discovery By Mimicking Human Experts

194、Fugatto 1: Foundational Generative Audio Transformer Opus 1

195、Consistency Models Made Easy

196、AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution

197、ElasticTok: Adaptive Tokenization for Image and Video

198、Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models

199、NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

200、Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport

201、Scaling up Masked Diffusion Models on Text

202、Think while You Generate: Discrete Diffusion with Planned Denoising

203、Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective

204、Can Transformers Do Enumerative Geometry?

205、EqNIO: Subequivariant Neural Inertial Odometry

206、Interaction Asymmetry: A General Principle for Learning Composable Abstractions

207、Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

208、CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer

209、Provence: efficient and robust context pruning for retrieval-augmented generation

210、CViT: Continuous Vision Transformer for Operator Learning

211、Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

212、Flow: Modularized Agentic Workflow Automation

213、An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression

214、Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models

215、Physics-informed Temporal Difference Metric Learning for Robot Motion Planning

216、Scalable Mechanistic Neural Networks

217、One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs

218、E(3)-equivariant models cannot learn chirality: Field-based molecular generation

219、JPEG Inspired Deep Learning

220、The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG

221、Tool-Planner: Task Planning with Clusters across Multiple Tools

222、Systematic Relational Reasoning With Epistemic Graph Neural Networks

223、Simple, Good, Fast: Self-Supervised World Models Free of Baggage

224、Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation

225、Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization

226、RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models

227、Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA

228、Agents' Room: Narrative Generation through Multi-step Collaboration

229、Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

230、MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory

231、Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

232、InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting

233、Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

234、COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation

235、Multimodal Quantitative Language for Generative Recommendation

236、Monet: Mixture of Monosemantic Experts for Transformers

237、Graph-based Document Structure Analysis

238、Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

239、3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling

240、Redefining the task of Bioactivity Prediction

241、Robust Simulation-Based Inference under Missing Data via Neural Processes

242、Physics-Informed Diffusion Models

243、DynFrs: An Efficient Framework for Machine Unlearning in Random Forest

244、Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

245、Decoupling Layout from Glyph in Online Chinese Handwriting Generation

246、Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

247、ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification

248、Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning

249、Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection

250、MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder

251、Wayward Concepts In Large Multimodal Models

252、Towards Hierarchical Rectified Flow

253、Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity

254、MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

255、Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions?

256、The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities

257、System 1.x: Learning to Balance Fast and Slow Planning with Language Models

258、Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning

259、Advancing Graph Generation through Beta Diffusion

260、UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation

261、Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning

262、Confidence Elicitation: A New Attack Vector for Large Language Models

263、CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution

264、MCNC: Manifold-Constrained Reparameterization for Neural Compression

265、HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics

266、Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning

267、AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

268、Forte : Finding Outliers with Representation Typicality Estimation

269、LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension

270、NextBestPath: Efficient 3D Mapping of Unseen Environments

271、LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

272、Breaking the Reclustering Barrier in Centroid-based Deep Clustering

273、Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning

274、Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning

275、Generalized Consistency Trajectory Models for Image Manipulation

276、API Pack: A Massive Multi-Programming Language Dataset for API Call Generation

277、Spherical Tree-Sliced Wasserstein Distance

278、Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces

279、Training Robust Ensembles Requires Rethinking Lipschitz Continuity

280、Sparse Autoencoders Do Not Find Canonical Units of Analysis

281、MUSE: Machine Unlearning Six-Way Evaluation for Language Models

282、Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport

283、Small Models are LLM Knowledge Triggers for Medical Tabular Prediction

284、PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

285、Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks

286、BANGS: Game-theoretic Node Selection for Graph Self-Training

287、UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

288、Generating Likely Counterfactuals Using Sum-Product Networks

289、Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

290、PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos

291、TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation

292、CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs

293、TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning

294、Number Cookbook: Number Understanding of Language Models and How to Improve It

295、Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

296、Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

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