Most Cited COLM "hinge loss" Papers
418 papers found • Page 2 of 3
Conference
Teach Old SAEs New Domain Tricks with Boosting
Nikita Koriagin, Yaroslav Aksenov, Daniil Laptev et al.
ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models
Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew et al.
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models
Ameen Ali Ali, Shahar Katz, Lior Wolf et al.
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
Yipeng Du, Zihao Wang, Ahmad Farhan et al.
X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression
Guihong Li, Mehdi Rezagholizadeh, Mingyu Yang et al.
When Splitting Makes Stronger: A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs
Yizhou Zhang, Defu Cao, Lun Du et al.
Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning
Daechul Ahn, San Kim, Jonghyun Choi
Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users
Jeffri Murrugarra-Llerena, Haoran Niu, K. Suzanne Barber et al.
2 OLMo 2 Furious (COLM’s Version)
Evan Pete Walsh, Luca Soldaini, Dirk Groeneveld et al.
HyperINF: Unleashing the HyperPower of Schulz's Method for Data Influence Estimation
Xinyu Zhou, Simin Fan, Martin Jaggi
Correctness-Guaranteed Code Generation via Constrained Decoding
Lingxiao Li, salar rahili, Yiwei Zhao
Improving LLMs‘ Generalized Reasoning Abilities by Graph Problems
Qifan Zhang, Nuo Chen, Zehua Li et al.
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
Meng Li, Timothy M. McPhillips, Dingmin Wang et al.
LM Agents May Fail to Act on Their Own Risk Knowledge
Yuzhi Tang, Tianxiao Li, Elizabeth Li et al.
CALLME: Call Graph Augmentation with Large Language Models for Javascript
Michael Wang, Kexin Pei, Armando Solar-Lezama
Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
Xinming Yang, Haasil Pujara, Jun Li
Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference
Rasmus Blanck, Bill Noble, Stergios Chatzikyriakidis
Do Language Models Agree with Human Perceptions of Suspense in Stories?
Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza et al.
HIPPO-VIDEO : Simulating Watch Histories with Large Language Models for History-Driven Video Highlighting
Jeongeun Lee, Youngjae Yu, Dongha Lee
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Zichong Li, Chen Liang, Zixuan Zhang et al.
The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning
Raj Sanjay Shah, Jing Huang, Keerthiram Murugesan et al.
CoLa: Learning to Interactively Collaborate with Large Language Models
Abhishek Sharma, Dan Goldwasser
StagFormer: Time Staggering Decoder only Transformers
Dylan J Cutler, Arun Kandoor, Nishanth Dikkala et al.
Reinforcement Learning Enhanced Full-Duplex Spoken Dialogue Language Models for Conversational Interactions
Chen Chen, Ke Hu, Chao-Han Huck Yang et al.
GenerationPrograms: Fine-grained Attribution with Executable Programs
David Wan, Eran Hirsch, Elias Stengel-Eskin et al.
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Interactive AI Agents
Xuhui Zhou, Hyunwoo Kim, Faeze Brahman et al.
Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation
Yi Lu, Wanxu Zhao, Xin Zhou et al.
REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories
Jacob Thompson, Emiliano Garcia-Lopez, Yonatan Bisk
G1yphD3c0de: Towards Safer Language Models on Visually Perturbed Texts
Yejinchoi, Yejin Yeo, Yejin Son et al.
On Mechanistic Circuits for Extractive Question-Answering
Samyadeep Basu, Vlad I Morariu, Ryan A. Rossi et al.
Towards User-level Private Reinforcement Learning with Human Feedback
Jiaming Zhang, Mingxi Lei, Meng Ding et al.
Partial Perspectives: How LLMs Handle Logically Inconsistent Knowledge in Reasoning Tasks
Zichao Li, Ines Arous, Jackie CK Cheung
Teaching Models to Understand (but not Generate) High-risk Data
Ryan Yixiang Wang, Matthew Finlayson, Luca Soldaini et al.
Rethinking Associative Memory Mechanism in Induction Head
Shuo Wang, Issei Sato
QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
Shiyue Zhang, David Wan, Arie Cattan et al.
Rhapsody: A Dataset for Highlight Detection in Podcasts
Younghan Park, Anuj Diwan, David Harwath et al.
Breakpoint: Stress-testing systems-level reasoning in LLM agents
Kaivalya Hariharan, Uzay Girit, Zifan Wang et al.
Impact of LLM Alignment on Impression Formation in Social Interactions
Ala N. Tak, Anahita Bolourani, Daniel B. Shank et al.
Hell or High Water: Evaluating Agentic Recovery from External Failures
Andrew Wang, Sophia Hager, Adi Asija et al.
Reasoning Models Know When They’re Right: Probing Hidden States for Self-Verification
Anqi Zhang, Yulin Chen, Jane Pan et al.
Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Justin Lovelace, Christian K Belardi, Sofian Zalouk et al.
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Adithya Pratapa, Teruko Mitamura
MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay et al.
MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
Rohan Phanse, Ej Zhou, Kejian Shi et al.
Readability ≠ Learnability: Rethinking the Role of Simplicity in Training Small Language Models
Ivan Lee, Taylor Berg-Kirkpatrick
Synthetic Data Generation and Multi-Step Reinforcement Learning for Reasoning and Tool Use
Anna Goldie, Azalia Mirhoseini, Hao Zhou et al.
REFA: Reference Free Alignment with Fine-Grained Length Control
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang et al.
Transformers are Efficient Compilers, Provably
Xiyu Zhai, Runlong Zhou, Liao Zhang et al.
Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation
Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn et al.
Pretrained Hybrids with MAD Skills
Nicholas Roberts, Samuel Guo, Zhiqi Gao et al.
Benchmarking Retrieval-Augmented Generation for Chemistry
Xianrui Zhong, Bowen Jin, Siru Ouyang et al.
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
Abhay Yadav
Do Biased Models Have Biased Thoughts?
Swati Rajwal, Shivank Garg, Reem Abdel-Salam et al.
Multilingual and Multi-Accent Jailbreaking of Audio LLMs
Jaechul Roh, Virat Shejwalkar, Amir Houmansadr
How does Watermarking Affect Visual Language Models in Document Understanding?
Chunxue Xu, Yiwei Wang, Bryan Hooi et al.
Traceable and Explainable Multimodal Large Language Models: An Information-Theoretic View
Zihan Huang, Junda Wu, Rohan Surana et al.
UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs?
Mukund Choudhary, KV Aditya Srivatsa, Gaurja Aeron et al.
LawFlow: Collecting and Simulating Lawyers’ Thought Processes on Business Formation Case Studies
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar et al.
Yourbench: Dynamic Evaluation Set Generation with LLMs
Sumuk Shashidhar, Clémentine Fourrier, Alina Lozovskaya et al.
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots
Huiqi Zou, Pengda Wang, Zihan Yan et al.
Evaluating Large Language Models as Expert Annotators
Yu-Min Tseng, Wei-Lin Chen, Chung-Chi Chen et al.
NoWag: A Unified Framework for Shape Preserving Com- pression of Large Language Models
Lawrence Ray Liu, Inesh Chakrabarti, Yixiao Li et al.
E$^2$-RAG: Towards Editable Efficient RAG by Editing Compressed KV Caches
Tongxu Luo, Wenyu Du, HanWen Hao et al.
Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources
Zihao Li, Shaoxiong Ji, Hengyu Luo et al.
Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
Johannes Ackermann, Takashi Ishida, Masashi Sugiyama
Limitations of refinement methods for weak to strong generalization
Seamus Somerstep, Yaacov Ritov, Mikhail Yurochkin et al.
AIOS: LLM Agent Operating System
Kai Mei, Xi Zhu, Wujiang Xu et al.
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing
Zhongyang Li, Ziyue Li, Tianyi Zhou
SuperBPE: Space Travel for Language Models
Alisa Liu, Jonathan Hayase, Valentin Hofmann et al.
One ruler to measure them all: Benchmarking multilingual long-context language models
Yekyung Kim, Jenna Russell, Marzena Karpinska et al.
Phased Training for LLM-powered Text Retrieval Models Beyond Data Scaling
Xin Zhang, Yanzhao Zhang, Wen Xie et al.
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
Yubo Wang, Xueguang Ma, Ping Nie et al.
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Chengqi Lyu, Songyang Gao, Yuzhe Gu et al.
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset
Bingxiang He, Wenbin Zhang, Jiaxi Song et al.
SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression
Yucheng Li, Surin Ahn, Huiqiang Jiang et al.
The Dual-Route Model of Induction
Sheridan Feucht, Eric Todd, Byron C Wallace et al.
MeMAD: Structured Memory of Debates for Enhanced Multi-Agent Reasoning
Shuai Ling, Lizi Liao, Dongmei Jiang et al.
DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models
Zhiyi Shi, Binjie Wang, Chongjie Si et al.
SpectR: Dynamically Composing LM Experts with Spectral Routing
William Fleshman, Benjamin Van Durme
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
Zhiyuan Zeng, Yizhong Wang, Hannaneh Hajishirzi et al.
News is More than a Collection of Facts: Moral Frame Preserving News Summarization
Enrico Liscio, Michela Lorandi, Pradeep K. Murukannaiah
Energy-Based Reward Models for Robust Language Model Alignment
Anamika Lochab, Ruqi Zhang
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru et al.
Shared Global and Local Geometry of Language Model Embeddings
Andrew Lee, Melanie Weber, Fernanda Viégas et al.
Knowledge Graph Retrieval-Augmented Generation via GNN-Guided Prompting
Haochen Liu, Song Wang, Jundong Li
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang et al.
Self-Evolving Critique Abilities in Large Language Models
Zhengyang Tang, Ziniu Li, Zhenyang Xiao et al.
BEARCUBS: A benchmark for computer-using web agents
Yixiao Song, Katherine Thai, Chau Minh Pham et al.
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
Yifan Wang, Runjin Chen, Bolian Li et al.
Supposedly Equivalent Facts That Aren’t? Entity Frequency in Pre-training Induces Asymmetry in LLMs
Yuan He, Bailan He, Zifeng Ding et al.
Plancraft: an evaluation dataset for planning with LLM agents
Gautier Dagan, Frank Keller, Alex Lascarides
CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning
George Ibrahim, Rita Ramos, Yova Kementchedjhieva
Text Speaks Louder than Vision: ASCII Art Reveals Textual Biases in Vision-Language Models
Zhaochen Wang, Bryan Hooi, Yiwei Wang et al.
Base Models Beat Aligned Models at Randomness and Creativity
Peter West, Christopher Potts
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Linxin Song, Xuwei Ding, Jieyu Zhang et al.
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Weihao Zeng, Yuzhen Huang, Qian Liu et al.
Can Test-Time Scaling Improve World Foundation Model?
Wenyan Cong, Hanqing Zhu, Peihao Wang et al.
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model
Yi Nian, Shenzhe Zhu, Yuehan Qin et al.
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das et al.
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
Pengcheng Jiang, Jiacheng Lin, Lang Cao et al.
Noiser: Bounded Input Perturbations for Attributing Large Language Models
Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Yu Zhao et al.
Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
Dahun Kim, Anelia Angelova
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak et al.
Truth-value judgment in language models: ‘truth directions’ are context sensitive
Stefan F. Schouten, Peter Bloem, Ilia Markov et al.
D3: A Dataset for Training Code LMs to Act Diff-by-Diff
Ulyana Piterbarg, Kanishk Gandhi, Lerrel Pinto et al.
FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training
hongzhou yu, Tianhao Cheng, Yingwen Wang et al.
PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction
Shufan Li, Aditya Grover
How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding
Zhuoran Yu, Yong Jae Lee
LLM-based Multi-Agents System Attack via Continuous Optimization with Discrete Efficient Search
Weichen Yu, Kai Hu, Tianyu Pang et al.
SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models
Arijit Ray, Jiafei Duan, Ellis L Brown II et al.
LLMs Are In-Context Bandit Reinforcement Learners
Giovanni Monea, Antoine Bosselut, Kianté Brantley et al.
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
Runjin Chen, Zhenyu Zhang, Junyuan Hong et al.
How do language models learn facts? Dynamics, curricula and hallucinations
Nicolas Zucchet, Jorg Bornschein, Stephanie C.Y. Chan et al.
LongCodeBench: Evaluating Coding LLMs at 1M Context Windows
Stefano Rando, Luca Romani, Alessio Sampieri et al.
$\mu$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
Zian Su, Ziyang Huang, Kaiyuan Zhang et al.
Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology
Longchao Da, Xiaoou Liu, Jiaxin Dai et al.
RWKV-7 "Goose" with Expressive Dynamic State Evolution
Bo Peng, Ruichong Zhang, Daniel Goldstein et al.
Improving Table Understanding with LLMs and Entity-Oriented Search
Thi-Nhung Nguyen, Hoang Ngo, Dinh Phung et al.
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Nathan Lambert, Jacob Morrison, Valentina Pyatkin et al.
AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time computation
Tuhin Chakrabarty, Philippe Laban, Chien-Sheng Wu
You Cannot Feed Two Birds with One Score: the Accuracy-Naturalness Tradeoff in Translation
Gergely Flamich, David Vilar, Jan-Thorsten Peter et al.
Cutting the Root of Hallucination: Structural Trimming for Vulnerability Mitigation in Code LLMs
Yage Zhang
LLMs as Research Tools: A Large Scale Survey of Researchers’ Usage and Perceptions
Zhehui Liao, Maria Antoniak, Inyoung Cheong et al.
NoveltyBench: Evaluating Language Models for Humanlike Diversity
Yiming Zhang, Harshita Diddee, Susan Holm et al.
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning
Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat et al.
Hawkeye: Model Collaboration for Efficient Reasoning
Jianshu She, Zhuohao Li, Zhemin Huang et al.
ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback
Taewon Yun, Jihwan Oh, Hyangsuk Min et al.
LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation
Xi Ye, Fangcong Yin, Yinghui He et al.
Training Plug-and-Play Knowledge Modules with Deep Context Distillation
Lucas Caccia, Alan Ansell, Edoardo Ponti et al.
RRO: LLM Agent Optimization Through Rising Reward Trajectories
Zilong Wang, Jingfeng Yang, Sreyashi Nag et al.
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang et al.
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy
Ruixi Lin, Ziqiao Wang, Yang You
Modifying Large Language Model Post-Training for Diverse Creative Writing
John Joon Young Chung, Vishakh Padmakumar, Melissa Roemmele et al.
Scaling Laws of Synthetic Data for Language Model
Zeyu Qin, Qingxiu Dong, Xingxing Zhang et al.
SQuat: Subspace-orthogonal KV Cache Quantization
Hao Wang, Ligong Han, Kai Xu et al.
Impact-driven Context Filtering For Cross-file Code Completion
Yanzhou Li, Shangqing Liu, Kangjie Chen et al.
Agents Are All You Need for LLM Unlearning
Debdeep Sanyal, Murari Mandal
Plato: Plan to Efficient Decode for Large Language Model Inference
Shuowei Jin, Xueshen Liu, Yongji Wu et al.
IMPersona: Evaluating Individual Level LLM Impersonation
Quan Shi, Carlos E Jimenez, Stephen Dong et al.
Customize Multi-modal RAI Guardrails with Precedent-based predictions
Cheng-Fu Yang, Thanh Tran, Christos Christodoulopoulos et al.
TRELLIS: Learning to Compress Key-Value Memory in Attention Models
Mahdi Karami, Ali Behrouz, Praneeth Kacham et al.
FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
Ethan Chern, Steffi Chern, Shiqi Chen et al.
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B
Aleksandra Bakalova, Yana Veitsman, Xinting Huang et al.
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha et al.
BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity
Chenyang Song, Weilin Zhao, Xu Han et al.
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses
Bin HAN, Robert Wolfe, Anat Caspi et al.
Inside-Out: Hidden Factual Knowledge in LLMs
Zorik Gekhman, Eyal Ben-David, Hadas Orgad et al.
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts et al.
(Im)possibility of Automated Hallucination Detection in Large Language Models
Amin Karbasi, Omar Montasser, John Sous et al.
Scaling Analysis of Interleaved Speech-Text Language Models
Gallil Maimon, Michael Hassid, Amit Roth et al.
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
Zhehao Zhang, Weijie Xu, Fanyou Wu et al.
Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
Liangyu Wang, Jie Ren, Hang Xu et al.
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
Runlong Zhou, Yi Zhang
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Songjun Tu, Jiahao Lin, Xiangyu Tian et al.
Understanding Layer Significance in LLM Alignment
Guangyuan SHI, ZEXIN LU, Xiaoyu DONG et al.
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
Anjiang Wei, Tarun Suresh, Jiannan Cao et al.
Language Model Personalization via Reward Factorization
Idan Shenfeld, Felix Faltings, Pulkit Agrawal et al.
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K
Tao Yuan, Xuefei Ning, Dong Zhou et al.
Deep Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions
Minwoo Kang, Suhong Moon, Seung Hyeong Lee et al.
Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback
Runlong Zhou, Maryam Fazel, Simon Shaolei Du
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
Xu Cao, Yifan Shen, Bolin Lai et al.
Language Models Fail to Introspect About Their Knowledge of Language
Siyuan Song, Jennifer Hu, Kyle Mahowald
ThoughtTerminator: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
Xiao Pu, Michael Saxon, Wenyue Hua et al.
Overflow Prevention Enhances Long-Context Recurrent LLMs
Assaf Ben-Kish, Itamar Zimerman, Muhammad Jehanzeb Mirza et al.
Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning
Jared Joselowitz, Ritam Majumdar, Arjun Jagota et al.
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline
Peter Baile Chen, Tomer Wolfson, Mike Cafarella et al.
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi, Ayush K Chakravarthy, Anikait Singh et al.
R2E-Gym: Procedural Environment Generation and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Naman Jain, Jaskirat Singh, Manish Shetty et al.
Agree to Disagree? A Meta-Evaluation of LLM Misgendering
Arjun Subramonian, Vagrant Gautam, Preethi Seshadri et al.
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas, Muneeza Azmat, Raya Horesh et al.
Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths
Tianyu Fu, Haofeng Huang, Xuefei Ning et al.
Adaptive Layer-skipping in Pre-trained LLMs
Xuan Luo, Weizhi Wang, Xifeng Yan
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Bowen Jin, Hansi Zeng, Zhenrui Yue et al.
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim, Melanie Sclar, Tan Zhi-Xuan et al.
Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers
Kusha Sareen, Morgane M Moss, Alessandro Sordoni et al.
Model-Agnostic Policy Explanations with Large Language Models
Zhang Xi-Jia, Yue Guo, Shufei Chen et al.
Language Model Uncertainty Quantification with Attention Chain
Yinghao Li, Rushi Qiang, Lama Moukheiber et al.
KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs
Zunhai Su, Kehong Yuan
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
Gabriel Jacob Perin, Runjin Chen, Xuxi Chen et al.
The Devil is in the EOS: Sequence Training for Detailed Image Captioning
Abdelrahman Mohamed, Yova Kementchedjhieva
Style over Substance: Distilled Language Models Reason Via Stylistic Replication
Philip Lippmann, Jie Yang
Exposing and Patching the Flaws of Large Language Models in Social Character Simulation
Yue Huang, Zhengqing Yuan, Yujun Zhou et al.
SmolLM2: When Smol Goes Big — Data-Centric Training of a Fully Open Small Language Model
Loubna Ben allal, Anton Lozhkov, Elie Bakouch et al.
MALT: Improving Reasoning with Multi-Agent LLM Training
Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das et al.
Mitigating Modal Imbalance in Multimodal Reasoning
Chen Henry Wu, Neil Kale, Aditi Raghunathan
SmolVLM: Redefining small and efficient multimodal models
Andrés Marafioti, Orr Zohar, Miquel Farré et al.
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval
Xinyu Wang, Linrui Ma, Jerry Huang et al.
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
Nishad Singhi, Hritik Bansal, Arian Hosseini et al.
Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models
Qing Yao, Kanishka Misra, Leonie Weissweiler et al.
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang, Jiacheng You, Ashwinee Panda et al.
Bootstrapping Visual Assistant Modeling with Situated Interaction Simulation
Yichi Zhang, Run Peng, Yinpei Dai et al.
SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
Aashiq Muhamed, Jacopo Bonato, Mona T. Diab et al.
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
Shijian Deng, Wentian Zhao, Yu-Jhe Li et al.
MegaMath: Pushing the Limits of Open Math Corpora
Fan Zhou, Zengzhi Wang, Nikhil Ranjan et al.
VaPR - Vision-language Preference alignment for Reasoning
Rohan Wadhawan, Fabrice Y Harel-Canada, Zi-Yi Dou et al.
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade et al.
Hidden in plain sight: VLMs overlook their visual representations
Stephanie Fu, tyler bonnen, Devin Guillory et al.
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
Wooseok Seo, Seungju Han, Jaehun Jung et al.
Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models
Youmi Ma, Sakae Mizuki, Kazuki Fujii et al.