Most Cited COLM "geometric context encoding" Papers
418 papers found • Page 2 of 3
Conference
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
Wooseok Seo, Seungju Han, Jaehun Jung et al.
Adaptive Computation Pruning for the Forgetting Transformer
Zhixuan Lin, Johan Obando-Ceron, Xu Owen He et al.
Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
Ziqiao Ma, Jing Ding, Xuejun Zhang et al.
Register Always Matters: Analysis of LLM Pretraining Data Through the Lens of Language Variation
Amanda Myntti, Erik Henriksson, Veronika Laippala et al.
MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
Mohan Jiang, Jin Gao, Jiahao Zhan et al.
Energy-Based Reward Models for Robust Language Model Alignment
Anamika Lochab, Ruqi Zhang
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs
Feiyang Kang, Yifan Sun, Bingbing Wen et al.
Post-training for Efficient Communication via Convention Formation
Yilun Hua, Evan Wang, Yoav Artzi
Language models align with brain regions that represent concepts across modalities
Maria Ryskina, Greta Tuckute, Alexander Fung et al.
Text Speaks Louder than Vision: ASCII Art Reveals Textual Biases in Vision-Language Models
Zhaochen Wang, Bryan Hooi, Yiwei Wang et al.
Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
Liangyu Wang, Jie Ren, Hang Xu et al.
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval
Xinyu Wang, Linrui Ma, Jerry Huang et al.
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
Tong Chen, Faeze Brahman, Jiacheng Liu et al.
Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
Yejin Kim, Eunwon Kim, Buru Chang et al.
Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks
Linbo Cao, Jinman Zhao
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
Dang Nguyen, Chenhao Tan
Impact-driven Context Filtering For Cross-file Code Completion
Yanzhou Li, Shangqing Liu, Kangjie Chen et al.
Probing Syntax in Large Language Models: Successes and Remaining Challenges
Pablo J. Diego Simon, Emmanuel Chemla, Jean-Remi King et al.
Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
Dahun Kim, Anelia Angelova
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang et al.
Approximating Language Model Training Data from Weights
John Xavier Morris, Junjie Oscar Yin, Woojeong Kim et al.
From Queries to Criteria: Understanding How Astronomers Evaluate LLMs
Alina Hyk, Kiera McCormick, Mian Zhong et al.
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset
Bingxiang He, Wenbin Zhang, Jiaxi Song et al.
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
Rei Higuchi, Ryotaro Kawata, Naoki Nishikawa et al.
Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality
Sewoong Lee, Adam Davies, Marc E. Canby et al.
CLIPPER: Compression enables long-context synthetic data generation
Chau Minh Pham, Yapei Chang, Mohit Iyyer
RARe: Retrieval Augmented Retrieval with In-Context Examples
Atula Tejaswi, Yoonsang Lee, sujay sanghavi 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.
ADAPT: Actively Discovering and Adapting to Preferences for any Task
Maithili Patel, Xavier Puig, Ruta Desai et al.
LLM Unlearning Without an Expert Curated Dataset
Xiaoyuan Zhu, Muru Zhang, Ollie Liu et al.
MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing
Michael Paul Clemens, Ana Marasovic
MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling
Mahdi Karami, Ali Behrouz, Peilin Zhong et al.
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
Skyler Hallinan, Jaehun Jung, Melanie Sclar et al.
Agree to Disagree? A Meta-Evaluation of LLM Misgendering
Arjun Subramonian, Vagrant Gautam, Preethi Seshadri et al.
A Taxonomy of Transcendence
Natalie Abreu, Edwin Zhang, Eran Malach et al.
Correctness-Guaranteed Code Generation via Constrained Decoding
Lingxiao Li, salar rahili, Yiwei Zhao
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
Syrine Belakaria, Joshua Kazdan, Charles Marx et al.
Noiser: Bounded Input Perturbations for Attributing Large Language Models
Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Yu Zhao et al.
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Anthony GX-Chen, Dongyan Lin, Mandana Samiei et al.
Guided Reasoning in LLM-Driven Penetration Testing Using Structured Attack Trees
Katsuaki Nakano, Reza Fayyazi, Shanchieh Yang et al.
In-Context Occam’s Razor: How Transformers Prefer Simpler Hypotheses on the Fly
Puneesh Deora, Bhavya Vasudeva, Tina Behnia et al.
The Zero Body Problem: Probing LLM Use of Sensory Language
Rebecca M. M. Hicke, Sil Hamilton, David Mimno
Humans overrely on overconfident language models, across languages
Neil Rathi, Dan Jurafsky, Kaitlyn Zhou
RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models
Juan Diego Rodriguez, Wenxuan Ding, Katrin Erk et al.
Visual Representations inside the Language Model
Benlin Liu, Amita Kamath, Madeleine Grunde-McLaughlin et al.
Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance
Takuya Tamura, Taro Yano, Masafumi Enomoto et al.
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
Fabian David Schmidt, Ivan Vulić, Goran Glavaš et al.
Hyperparameter Loss Surfaces Are Simple Near their Optima
Nicholas Lourie, He He, Kyunghyun Cho
Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups
Rijul Magu, Arka Dutta, Sean Kim et al.
BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
Christos Tsirigotis, Vaibhav Adlakha, Joao Monteiro et al.
The Negation Bias in Large Language Models: Investigating bias reflected in linguistic markers
Yishan Wang, Pia Sommerauer, Jelke Bloem
Layerwise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models
Wataru Ikeda, Kazuki Yano, Ryosuke Takahashi et al.
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation
Anirban Saha Anik, Xiaoying Song, Elliott Wang et al.
Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression
Hanqi Xiao, Yi-Lin Sung, Elias Stengel-Eskin et al.
Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture
Nguyen Anh Minh, Dung D. Le
SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models
Zhenwei Tang, Difan Jiao, Blair Yang et al.
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Xiaomeng Ma, Qihui Xu
Exploring Large Language Model Agents for Piloting Social Experiments
Jinghua Piao, Yuwei Yan, Nian Li et al.
Do Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Task
Jared Moore, Ned Cooper, Rasmus Overmark et al.
URANIA: Differentially Private Insights into AI Use
Daogao Liu, Edith Cohen, Badih Ghazi et al.
OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews
Mir Tafseer Nayeem, Davood Rafiei
Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution
Falaah Arif Khan, Nivedha Sivakumar, Yinong Oliver Wang et al.
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Haoteng Yin, Rongzhe Wei, Eli Chien et al.
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts
Samin Yeasar Arnob, Zhan Su, Minseon Kim et al.
The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
Harsh Nishant Lalai, Raj Sanjay Shah, Jiaxin Pei et al.
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
Qingru Zhang, Liang Qiu, Ilgee Hong et al.
UTF-8 Plumbing: Byte-level Tokenizers Unavoidably Enable LLMs to Generate Ill-formed UTF-8
Preston Firestone, Shubham Ugare, Gagandeep Singh et al.
Resource-efficient Inference with Foundation Model Programs
Lunyiu Nie, Zhimin Ding, Kevin Yu et al.
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.
Mitigating Modal Imbalance in Multimodal Reasoning
Chen Henry Wu, Neil Kale, Aditi Raghunathan
RRO: LLM Agent Optimization Through Rising Reward Trajectories
Zilong Wang, Jingfeng Yang, Sreyashi Nag et al.
Single-Pass Document Scanning for Question Answering
Weili Cao, Jianyou Wang, Youze Zheng et al.
Customize Multi-modal RAI Guardrails with Precedent-based predictions
Cheng-Fu Yang, Thanh Tran, Christos Christodoulopoulos 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.
Elucidating the Design Space of Decay in Linear Attention
Zhen Qin, Xuyang Shen, Yiran Zhong
CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning
George Ibrahim, Rita Ramos, Yova Kementchedjhieva
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru et al.
Limitations of refinement methods for weak to strong generalization
Seamus Somerstep, Yaacov Ritov, Mikhail Yurochkin et al.
DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models
Zhiyi Shi, Binjie Wang, Chongjie Si et al.
Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy
Ruixi Lin, Ziqiao Wang, Yang You
MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay et al.
Can Test-Time Scaling Improve World Foundation Model?
Wenyan Cong, Hanqing Zhu, Peihao Wang et al.
SQuat: Subspace-orthogonal KV Cache Quantization
Hao Wang, Ligong Han, Kai Xu et al.
G1yphD3c0de: Towards Safer Language Models on Visually Perturbed Texts
Yejinchoi, Yejin Yeo, Yejin Son et al.
Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation
Yi Lu, Wanxu Zhao, Xin Zhou et al.
Agents Are All You Need for LLM Unlearning
Debdeep Sanyal, Murari Mandal
The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning
Raj Sanjay Shah, Jing Huang, Keerthiram Murugesan 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.
HIPPO-VIDEO : Simulating Watch Histories with Large Language Models for History-Driven Video Highlighting
Jeongeun Lee, Youngjae Yu, Dongha Lee
Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference
Rasmus Blanck, Bill Noble, Stergios Chatzikyriakidis
Improving LLMs‘ Generalized Reasoning Abilities by Graph Problems
Qifan Zhang, Nuo Chen, Zehua Li et al.
Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning
Daechul Ahn, San Kim, Jonghyun Choi
BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity
Chenyang Song, Weilin Zhao, Xu Han et al.
Overfill: Two-Stage Models for Efficient Language Model Decoding
Woojeong Kim, Junxiong Wang, Jing Nathan Yan et al.
Analyzing Multilingualism in Large Language Models with Sparse Autoencoders
Ikhyun Cho, Julia Hockenmaier
Towards Compute-Optimal Many-Shot In-Context Learning
Shahriar Golchin, Yanfei Chen, Rujun Han et al.
CodeXEmbed: A Generalist Embedding Model Family for Multilingual and Multi-task Code Retrieval
Ye Liu, Rui Meng, Shafiq Joty et al.
Evaluating LLMs on Chinese Idiom Translation
Cai Yang, Yao Dou, David Heineman et al.
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jianyou Wang, Weili Cao, Kaicheng Wang 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.
HyperINF: Unleashing the HyperPower of Schulz's Method for Data Influence Estimation
Xinyu Zhou, Simin Fan, Martin Jaggi
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.
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim, Melanie Sclar, Tan Zhi-Xuan et al.
2 OLMo 2 Furious (COLM’s Version)
Evan Pete Walsh, Luca Soldaini, Dirk Groeneveld 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
MeMAD: Structured Memory of Debates for Enhanced Multi-Agent Reasoning
Shuai Ling, Lizi Liao, Dongmei Jiang et al.
VaPR - Vision-language Preference alignment for Reasoning
Rohan Wadhawan, Fabrice Y Harel-Canada, Zi-Yi Dou et al.
Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
Xinming Yang, Haasil Pujara, Jun Li
Do Language Models Agree with Human Perceptions of Suspense in Stories?
Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza et al.
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Zichong Li, Chen Liang, Zixuan Zhang et al.
CoLa: Learning to Interactively Collaborate with Large Language Models
Abhishek Sharma, Dan Goldwasser
Reinforcement Learning Enhanced Full-Duplex Spoken Dialogue Language Models for Conversational Interactions
Chen Chen, Ke Hu, Chao-Han Huck Yang et al.
$\mu$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
Zian Su, Ziyang Huang, Kaiyuan Zhang 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.
Hawkeye: Model Collaboration for Efficient Reasoning
Jianshu She, Zhuohao Li, Zhemin Huang et al.
Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models
Youmi Ma, Sakae Mizuki, Kazuki Fujii et al.
REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories
Jacob Thompson, Emiliano Garcia-Lopez, Yonatan Bisk
Phased Training for LLM-powered Text Retrieval Models Beyond Data Scaling
Xin Zhang, Yanzhao Zhang, Wen Xie et al.
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model
Yi Nian, Shenzhe Zhu, Yuehan Qin et al.
IMPersona: Evaluating Individual Level LLM Impersonation
Quan Shi, Carlos E Jimenez, Stephen Dong et al.
ProsodyLM: Uncovering the Emerging Prosody Processing Capabilities in Speech Language Models
Kaizhi Qian, Xulin Fan, Junrui Ni et al.
Bootstrapping Visual Assistant Modeling with Situated Interaction Simulation
Yichi Zhang, Run Peng, Yinpei Dai et al.
On Mechanistic Circuits for Extractive Question-Answering
Samyadeep Basu, Vlad I Morariu, Ryan A. Rossi 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.
Exposing and Patching the Flaws of Large Language Models in Social Character Simulation
Yue Huang, Zhengqing Yuan, Yujun Zhou et al.
Breakpoint: Stress-testing systems-level reasoning in LLM agents
Kaivalya Hariharan, Uzay Girit, Zifan Wang 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.
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.
StagFormer: Time Staggering Decoder only Transformers
Dylan J Cutler, Arun Kandoor, Nishanth Dikkala et al.
Reasoning Models Know When They’re Right: Probing Hidden States for Self-Verification
Anqi Zhang, Yulin Chen, Jane Pan et al.
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
Pengcheng Jiang, Jiacheng Lin, Lang Cao et al.
Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Justin Lovelace, Christian K Belardi, Sofian Zalouk et al.
Do Biased Models Have Biased Thoughts?
Swati Rajwal, Shivank Garg, Reem Abdel-Salam et al.
Improving Table Understanding with LLMs and Entity-Oriented Search
Thi-Nhung Nguyen, Hoang Ngo, Dinh Phung et al.
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Adithya Pratapa, Teruko Mitamura
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
Truth-value judgment in language models: ‘truth directions’ are context sensitive
Stefan F. Schouten, Peter Bloem, Ilia Markov et al.
Synthetic Data Generation and Multi-Step Reinforcement Learning for Reasoning and Tool Use
Anna Goldie, Azalia Mirhoseini, Hao Zhou et al.
Cutting the Root of Hallucination: Structural Trimming for Vulnerability Mitigation in Code LLMs
Yage Zhang
REFA: Reference Free Alignment with Fine-Grained Length Control
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang et al.
TRELLIS: Learning to Compress Key-Value Memory in Attention Models
Mahdi Karami, Ali Behrouz, Praneeth Kacham et al.
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
Abhay Yadav
Traceable and Explainable Multimodal Large Language Models: An Information-Theoretic View
Zihan Huang, Junda Wu, Rohan Surana 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.
How does Watermarking Affect Visual Language Models in Document Understanding?
Chunxue Xu, Yiwei Wang, Bryan Hooi 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.
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha et al.
Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
Johannes Ackermann, Takashi Ishida, Masashi Sugiyama
Language Model Uncertainty Quantification with Attention Chain
Yinghao Li, Rushi Qiang, Lama Moukheiber et al.
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing
Zhongyang Li, Ziyue Li, Tianyi Zhou
KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs
Zunhai Su, Kehong Yuan
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
One ruler to measure them all: Benchmarking multilingual long-context language models
Yekyung Kim, Jenna Russell, Marzena Karpinska et al.
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak et al.
Inside-Out: Hidden Factual Knowledge in LLMs
Zorik Gekhman, Eyal Ben-David, Hadas Orgad 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.
SmolVLM: Redefining small and efficient multimodal models
Andrés Marafioti, Orr Zohar, Miquel Farré et al.
PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction
Shufan Li, Aditya Grover
LLM-based Multi-Agents System Attack via Continuous Optimization with Discrete Efficient Search
Weichen Yu, Kai Hu, Tianyu Pang et al.
The Dual-Route Model of Induction
Sheridan Feucht, Eric Todd, Byron C Wallace et al.
Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models
Qing Yao, Kanishka Misra, Leonie Weissweiler et al.
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
Runjin Chen, Zhenyu Zhang, Junyuan Hong et al.
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang, Jiacheng You, Ashwinee Panda 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.
SpectR: Dynamically Composing LM Experts with Spectral Routing
William Fleshman, Benjamin Van Durme
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
Shijian Deng, Wentian Zhao, Yu-Jhe Li et al.
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
Anjiang Wei, Tarun Suresh, Jiannan Cao et al.
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K
Tao Yuan, Xuefei Ning, Dong Zhou et al.
Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback
Runlong Zhou, Maryam Fazel, Simon Shaolei Du
Hidden in plain sight: VLMs overlook their visual representations
Stephanie Fu, tyler bonnen, Devin Guillory et al.
Language Models Fail to Introspect About Their Knowledge of Language
Siyuan Song, Jennifer Hu, Kyle Mahowald
Overflow Prevention Enhances Long-Context Recurrent LLMs
Assaf Ben-Kish, Itamar Zimerman, Muhammad Jehanzeb Mirza et al.
News is More than a Collection of Facts: Moral Frame Preserving News Summarization
Enrico Liscio, Michela Lorandi, Pradeep K. Murukannaiah
EuroBERT: Scaling Multilingual Encoders for European Languages
Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte Miguel Alves et al.
Shared Global and Local Geometry of Language Model Embeddings
Andrew Lee, Melanie Weber, Fernanda Viégas et al.
CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
Tae Soo Kim, Yoonjoo Lee, Yoonah Park et al.
LLMs as Research Tools: A Large Scale Survey of Researchers’ Usage and Perceptions
Zhehui Liao, Maria Antoniak, Inyoung Cheong et al.
Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge
Agam Shah, Liqin Ye, Sebastian Jaskowski et al.
BEARCUBS: A benchmark for computer-using web agents
Yixiao Song, Katherine Thai, Chau Minh Pham et al.
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning
Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat 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.