Most Cited COLM 2025 "separable non-linear least squares" Papers
418 papers found • Page 1 of 3
Conference
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu, Changyu Chen, Wenjun Li et al.
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Bowen Jin, Hansi Zeng, Zhenrui Yue et al.
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Nathan Lambert, Jacob Morrison, Valentina Pyatkin 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.
LIMO: Less is More for Reasoning
Yixin Ye, Zhen Huang, Yang Xiao et al.
Training Large Language Models to Reason in a Continuous Latent Space
Shibo Hao, Sainbayar Sukhbaatar, DiJia Su 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.
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.
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
Zefan Cai, Yichi Zhang, Bofei Gao et al.
SmolVLM: Redefining small and efficient multimodal models
Andrés Marafioti, Orr Zohar, Miquel Farré et al.
Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining
Rosie Zhao, Alexandru Meterez, Sham M. Kakade et al.
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
Yong Lin, Shange Tang, Bohan Lyu et al.
RWKV-7 "Goose" with Expressive Dynamic State Evolution
Bo Peng, Ruichong Zhang, Daniel Goldstein et al.
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
Saaket Agashe, Kyle Wong, Vincent Tu et al.
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao et al.
Why do LLMs attend to the first token?
Federico Barbero, Alvaro Arroyo, Xiangming Gu et al.
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K
Tao Yuan, Xuefei Ning, Dong Zhou et al.
AIOS: LLM Agent Operating System
Kai Mei, Xi Zhu, Wujiang Xu et al.
An Illusion of Progress? Assessing the Current State of Web Agents
Tianci Xue, Weijian Qi, Tianneng Shi et al.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar et al.
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
Salman Rahman, Liwei Jiang, James Shiffer et al.
Learning Adaptive Parallel Reasoning with Language Models
Jiayi Pan, Xiuyu Li, Long Lian et al.
SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models
Arijit Ray, Jiafei Duan, Ellis L Brown II et al.
FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language
Guilherme Penedo, Hynek Kydlíček, Vinko Sabolčec et al.
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts et al.
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang et al.
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths
Kaixuan Huang, Xudong Guo, Mengdi Wang
R2E-Gym: Procedural Environment Generation and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Naman Jain, Jaskirat Singh, Manish Shetty et al.
LLMs as Research Tools: A Large Scale Survey of Researchers’ Usage and Perceptions
Zhehui Liao, Maria Antoniak, Inyoung Cheong et al.
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Chengqi Lyu, Songyang Gao, Yuzhe Gu et al.
ReasonIR: Training Retrievers for Reasoning Tasks
Rulin Shao, Rui Qiao, Varsha Kishore et al.
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
Yubo Wang, Xiang Yue, Wenhu Chen
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
Puxuan Yu, Luke Merrick, Gaurav Nuti et al.
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun et al.
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
Runjin Chen, Zhenyu Zhang, Junyuan Hong et al.
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
Chenrui Fan, Ming Li, Lichao Sun et al.
Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time
Van Yang, Xiang Yue, Vipin Chaudhary et al.
Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths
Tianyu Fu, Haofeng Huang, Xuefei Ning et al.
MALT: Improving Reasoning with Multi-Agent LLM Training
Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das et al.
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
Bowen Jiang, Zhuoqun Hao, Young Min Cho et al.
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
Ruikang Liu, Yuxuan Sun, Manyi Zhang et al.
Scaling Laws of Synthetic Data for Language Model
Zeyu Qin, Qingxiu Dong, Xingxing Zhang et al.
SuperBPE: Space Travel for Language Models
Alisa Liu, Jonathan Hayase, Valentin Hofmann et al.
Steering Large Language Model Activations in Sparse Spaces
Reza Bayat, Ali Rahimi-Kalahroudi, Mohammad Pezeshki et al.
Retrieval-Augmented Generation with Conflicting Evidence
Han Wang, Archiki Prasad, Elias Stengel-Eskin et al.
Values in the Wild: Discovering and Mapping Values in Real-World Language Model Interactions
Saffron Huang, Esin DURMUS, Kunal Handa et al.
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
Shalev Lifshitz, Sheila A. McIlraith, Yilun Du
Spike No More: Stabilizing the Pre-training of Large Language Models
Sho Takase, Shun Kiyono, Sosuke Kobayashi et al.
Cascade Reward Sampling for Efficient Decoding-Time Alignment
Bolian Li, Yifan Wang, Anamika Lochab et al.
MegaMath: Pushing the Limits of Open Math Corpora
Fan Zhou, Zengzhi Wang, Nikhil Ranjan et al.
NoveltyBench: Evaluating Language Models for Humanlike Diversity
Yiming Zhang, Harshita Diddee, Susan Holm et al.
Evaluating the Diversity and Quality of LLM Generated Content
Alexander Shypula, Shuo Li, Botong Zhang et al.
Modifying Large Language Model Post-Training for Diverse Creative Writing
John Joon Young Chung, Vishakh Padmakumar, Melissa Roemmele et al.
Weight ensembling improves reasoning in language models
Xingyu Dang, Christina Baek, Kaiyue Wen et al.
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Šurina, Amin Mansouri, Lars C.P.M. Quaedvlieg et al.
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
Xu Cao, Yifan Shen, Bolin Lai et al.
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
Wenhao Zheng, Yixiao Chen, Weitong Zhang 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.
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade et al.
ThoughtTerminator: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
Xiao Pu, Michael Saxon, Wenyue Hua et al.
M-Prometheus: A Suite of Open Multilingual LLM Judges
José Pombal, Dongkeun Yoon, Patrick Fernandes 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.
Multi-Agent Systems Execute Arbitrary Malicious Code
Harold Triedman, Rishi Dev Jha, Vitaly Shmatikov
Inducing Programmatic Skills for Agentic Tasks
Zora Zhiruo Wang, Apurva Gandhi, Graham Neubig et al.
How do language models learn facts? Dynamics, curricula and hallucinations
Nicolas Zucchet, Jorg Bornschein, Stephanie C.Y. Chan et al.
Establishing Task Scaling Laws via Compute-Efficient Model Ladders
Akshita Bhagia, Jiacheng Liu, Alexander Wettig et al.
Streaming DiLoCo with overlapping communication
Arthur Douillard, Yani Donchev, J Keith Rush et al.
Learning to Reason for Long-Form Story Generation
Alexander Gurung, Mirella Lapata
PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages
Priyanshu Kumar, Devansh Jain, Akhila Yerukola et al.
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
Zhiyuan Zeng, Yizhong Wang, Hannaneh Hajishirzi et al.
A Controlled Study on Long Context Extension and Generalization in LLMs
Yi Lu, Jing Nathan Yan, Songlin Yang et al.
EuroBERT: Scaling Multilingual Encoders for European Languages
Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte Miguel Alves et al.
M²IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering
Yanshu Li, Yi Cao, Hongyang He et al.
DoomArena: A framework for Testing AI Agents Against Evolving Security Threats
Léo Boisvert, Abhay Puri, Gabriel Huang et al.
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Songjun Tu, Jiahao Lin, Xiangyu Tian et al.
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
Ran Xu, Wenqi Shi, Yuchen Zhuang et al.
SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
Aashiq Muhamed, Jacopo Bonato, Mona T. Diab et al.
SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding
Mingze Xu, Mingfei Gao, Shiyu Li et al.
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics
Hamed Mahdavi, Alireza Hashemi, Majid Daliri et al.
Shared Global and Local Geometry of Language Model Embeddings
Andrew Lee, Melanie Weber, Fernanda Viégas et al.
Task Vectors in In-Context Learning: Emergence, Formation, and Benefits
Liu Yang, Ziqian Lin, Kangwook Lee et al.
Law of Vision Representation in MLLMs
Shijia Yang, Bohan Zhai, Quanzeng You et al.
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang et al.
Base Models Beat Aligned Models at Randomness and Creativity
Peter West, Christopher Potts
DynaSaur: Large Language Agents Beyond Predefined Actions
Dang Nguyen, Viet Dac Lai, Seunghyun Yoon et al.
Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection
Kabir Ahuja, Melanie Sclar, Yulia Tsvetkov
Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barrier
Craig W Schmidt, Varshini Reddy, Chris Tanner et al.
LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation
Xi Ye, Fangcong Yin, Yinghui He et al.
The Dual-Route Model of Induction
Sheridan Feucht, Eric Todd, Byron C Wallace 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
ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
Shuyue Stella Li, Jimin Mun, Faeze Brahman et al.
Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models
Meghana Arakkal Rajeev, Rajkumar Ramamurthy, Prapti Trivedi et al.
BEARCUBS: A benchmark for computer-using web agents
Yixiao Song, Katherine Thai, Chau Minh Pham et al.
To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning
Tian Qin, David Alvarez-Melis, Samy Jelassi et al.
Interpreting the linear structure of vision-language model embedding spaces
Isabel Papadimitriou, Huangyuan Su, Thomas Fel et al.
Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy
Abe Bohan Hou, Hongru Du, Yichen Wang et al.
LongCodeBench: Evaluating Coding LLMs at 1M Context Windows
Stefano Rando, Luca Romani, Alessio Sampieri et al.
Assessing Judging Bias in Large Reasoning Models: An Empirical Study
Qian Wang, Zhanzhi Lou, Zhenheng Tang et al.
Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers
Quanyu Long, Yue Deng, Leilei Gan et al.
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad, Elias Stengel-Eskin, Justin Chen et al.
Bayesian scaling laws for in-context learning
Aryaman Arora, Dan Jurafsky, Christopher Potts et al.
Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback
Runlong Zhou, Maryam Fazel, Simon Shaolei Du
Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models
Thao Nguyen, Yang Li, Olga Golovneva 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.
Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing
Jihyun Janice Ahn, Wenpeng Yin
Understanding Layer Significance in LLM Alignment
Guangyuan SHI, ZEXIN LU, Xiaoyu DONG et al.
Language Model Personalization via Reward Factorization
Idan Shenfeld, Felix Faltings, Pulkit Agrawal et al.
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim, Melanie Sclar, Tan Zhi-Xuan et al.
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang, Jiacheng You, Ashwinee Panda et al.
Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology
Longchao Da, Xiaoou Liu, Jiaxin Dai et al.
Language Models Fail to Introspect About Their Knowledge of Language
Siyuan Song, Jennifer Hu, Kyle Mahowald
Adaptive Layer-skipping in Pre-trained LLMs
Xuan Luo, Weizhi Wang, Xifeng Yan
LLMs Are In-Context Bandit Reinforcement Learners
Giovanni Monea, Antoine Bosselut, Kianté Brantley et al.
CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
Anirudh Khatry, Robert Zhang, Jia Pan 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.
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models in Multi-turn Interactions
Hao Yang, Lizhen Qu, Ehsan Shareghi et al.
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors
Fan Nie, Lan Feng, Haotian Ye et al.
Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery
Nicholas Clark, Hua Shen, Bill Howe et al.
Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization
Zhitao He, Zijun Liu, Peng Li et al.
Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought'' Control
Hannah Cyberey, David Evans
Fluid Language Model Benchmarking
Valentin Hofmann, David Heineman, Ian Magnusson et al.
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models
Minqian Liu, Zhiyang Xu, Xinyi Zhang et al.
Unifying Autoregressive and Diffusion-Based Sequence Generation
Nima Fathi, Torsten Scholak, Pierre-Andre Noel
Breaking the Data Barrier -- Building GUI Agents Through Task Generalization
Junlei Zhang, Zichen Ding, Chang Ma et al.
Language Model Uncertainty Quantification with Attention Chain
Yinghao Li, Rushi Qiang, Lama Moukheiber et al.
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
Soumyadeep Pal, Changsheng Wang, James Diffenderfer et al.
Sample Efficient Preference Alignment in LLMs via Active Exploration
Viraj Mehta, Syrine Belakaria, Vikramjeet Das et al.
Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
Neel Jain, Aditya Shrivastava, Chenyang Zhu et al.
EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing
Yizhang Zhu, Runzhi JIANG, Boyan Li et al.
LoRe: Personalizing LLMs via Low-Rank Reward Modeling
Avinandan Bose, Zhihan Xiong, Yuejie Chi et al.
Pairwise or Pointwise? Evaluating Feedback Protocols for Bias in LLM-Based Evaluation
Tuhina Tripathi, Manya Wadhwa, Greg Durrett 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.
LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception
Yuan-Hong Liao, Sven Elflein, Liu He et al.
Layers at Similar Depths Generate Similar Activations Across LLM Architectures
Christopher Wolfram, Aaron Schein
Efficient Process Reward Model Training via Active Learning
Keyu Duan, Zichen Liu, Xin Mao et al.
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Zhouhang Xie, Junda Wu, Yiran Shen et al.
One ruler to measure them all: Benchmarking multilingual long-context language models
Yekyung Kim, Jenna Russell, Marzena Karpinska et al.
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Lynn Chua, Badih Ghazi, Yangsibo Huang et al.
SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?
Jianzhu Yao, Kevin Wang, Ryan Hsieh et al.
Have Large Language Models Learned to Reason? A Characterization via 3-SAT
RISHI HAZRA, Gabriele Venturato, Pedro Zuidberg Dos Martires et al.
Hardware-Efficient Attention for Fast Decoding
Ted Zadouri, Hubert Strauss, Tri Dao
Texture or Semantics? Vision-Language Models Get Lost in Font Recognition
Zhecheng Li, Guoxian Song, Yujun Cai et al.
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
Li An, Yujian Liu, Yepeng Liu et al.
Training Plug-and-Play Knowledge Modules with Deep Context Distillation
Lucas Caccia, Alan Ansell, Edoardo Ponti et al.
One-shot Optimized Steering Vectors Mediate Safety-relevant Behaviors in LLMs
Jacob Dunefsky, Arman Cohan
The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
Scott Geng, Hamish Ivison, Chun-Liang Li et al.
Agents Are All You Need for LLM Unlearning
Debdeep Sanyal, Murari Mandal
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling
Hang Zheng, Hongshen Xu, Yuncong Liu et al.
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
Patrick Fernandes, Sweta Agrawal, Emmanouil Zaranis et al.
KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs
Zunhai Su, Kehong Yuan
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline
Peter Baile Chen, Tomer Wolfson, Mike Cafarella et al.
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
Yubo Wang, Xueguang Ma, Ping Nie et al.
Towards User-level Private Reinforcement Learning with Human Feedback
Jiaming Zhang, Mingxi Lei, Meng Ding et al.
Not All Data Are Unlearned Equally
Aravind Krishnan, Siva Reddy, Marius Mosbach
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B
Aleksandra Bakalova, Yana Veitsman, Xinting Huang et al.
Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
José Pombal, Nuno M Guerreiro, Ricardo Rei et al.
Boosting LLM Reasoning via Spontaneous Self-Correction
Xutong Zhao, Tengyu Xu, Xuewei Wang 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.
Can Test-Time Scaling Improve World Foundation Model?
Wenyan Cong, Hanqing Zhu, Peihao Wang et al.
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
Ben Lipkin, Benjamin LeBrun, Jacob Hoover Vigly et al.
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Itay Nakash, Nitay Calderon, Eyal Ben-David et al.
Adversarial Training of Reward Models
Alexander Bukharin, Haifeng Qian, Shengyang Sun et al.
DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation
Jingyang Xiang, Sai Qian Zhang
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak et al.
Rerouting LLM Routers
Avital Shafran, Roei Schuster, Tom Ristenpart et al.
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
Anjiang Wei, Tarun Suresh, Jiannan Cao et al.
Can LLMs Handle WebShell Detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework
Feijiang Han, Jiaming Zhang, Chuyi Deng et al.
Self-Steering Language Models
Gabriel Grand, Joshua B. Tenenbaum, Vikash Mansinghka et al.
Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation
Julia Kreutzer, Eleftheria Briakou, Sweta Agrawal et al.
LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage
Yuzhou Nie, Zhun Wang, Ye Yu et al.
The Blessing and Curse of Dimensionality in Safety Alignment
Rachel S.Y. Teo, Laziz Abdullaev, Tan Minh Nguyen
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
Ryo Bertolissi, Jonas Hübotter, Ido Hakimi et al.
Self-Evolving Critique Abilities in Large Language Models
Zhengyang Tang, Ziniu Li, Zhenyang Xiao et al.
Plancraft: an evaluation dataset for planning with LLM agents
Gautier Dagan, Frank Keller, Alex Lascarides
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
David Guzman Piedrahita, Yongjin Yang, Mrinmaya Sachan et al.
ICQuant: Index Coding enables Low-bit LLM Quantization
Xinlin Li, Osama Hanna, Christina Fragouli et al.
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
Weizhi Wang, Yu Tian, Linjie Yang et al.
RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale
Daniel Goldstein, Eric Alcaide, Janna Lu et al.
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
Miguel Moura Ramos, Patrick Fernandes, Sweta Agrawal 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.
SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression
Yucheng Li, Surin Ahn, Huiqiang Jiang et al.
PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play?
Lingfeng Zhou, Jialing Zhang, Jin Gao et al.
Sherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting
Fajri Koto, Rituraj Joshi, Nurdaulet Mukhituly et al.
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing
Zhongyang Li, Ziyue Li, Tianyi Zhou
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
Hongzhe Du, Weikai Li, Min Cai et al.
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning
Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat et al.
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
Yogesh Kulkarni, Pooyan Fazli
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
Jixuan Leng, Chengsong Huang, Langlin Huang et al.
Multi-Token Attention
Olga Golovneva, Tianlu Wang, Jason E Weston et al.
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
Gabriel Jacob Perin, Runjin Chen, Xuxi Chen et al.
BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning
Ahmed Masry, Abhay Puri, Masoud Hashemi et al.
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
Tianyang Xu, Xiaoze Liu, Feijie Wu et al.
Don’t lie to your friends: Learning what you know from collaborative self-play
Jacob Eisenstein, Reza Aghajani, Adam Fisch et al.
Scaling Analysis of Interleaved Speech-Text Language Models
Gallil Maimon, Michael Hassid, Amit Roth et al.
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Minseon Kim, Jin Myung Kwak, Lama Alssum et al.
CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions
Yuchen Huang, Zhiyuan Fan, Zhitao He et al.
FormaRL: Enhancing Autoformalization with no Labeled Data
Yanxing Huang, Xinling Jin, Sijie Liang et al.
(Im)possibility of Automated Hallucination Detection in Large Language Models
Amin Karbasi, Omar Montasser, John Sous et al.
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas, Muneeza Azmat, Raya Horesh et al.