Computation and Language

Papers filed under cs.CL on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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4,381 to 4,440 of 11,233

Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Preston Rasmussen, Pavlo Paliychuk, Travis Beauvais +2
cs.CLcs.AIcs.IRarXiv:2501.13956v12025
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Loubna Ben Allal, Anton Lozhkov, Elie Bakouch +19
cs.CLarXiv:2502.02737v12025
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Haotian Luo, Li Shen, Haiying He +6
cs.CLarXiv:2501.12570v22025
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Mingxuan Du, Benfeng Xu, Chiwei Zhu +2
cs.CLcs.IRarXiv:2506.11763v12025
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
Haozhe Wang, Alex Su, Weiming Ren +2
cs.CVcs.AIcs.CLarXiv:2505.15966v32025
Learning a Recurrent Visual Representation for Image Caption Generation
Xinlei Chen, C. Lawrence Zitnick
cs.CVcs.AIcs.CLarXiv:1411.5654v12014
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Xiaoxi Li, Jiajie Jin, Guanting Dong +5
cs.CLcs.AIcs.IRarXiv:2504.21776v22025
FinBen: A Holistic Financial Benchmark for Large Language Models
Qianqian Xie, Weiguang Han, Zhengyu Chen +31
cs.CLcs.AIcs.CEarXiv:2402.12659v22024
Learning to Reason under Off-Policy Guidance
Jianhao Yan, Yafu Li, Zican Hu +5
cs.LGcs.AIcs.CLarXiv:2504.14945v52025
Beyond Magnitude: Contrastive Routing for Modular Mixture-of-Experts
Nikolaos Xiros, Dimitrios Damianos, Maria-Eleni Zoumpoulidi +3
cs.CLarXiv:2609.01100v12026
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui Lin, Jeff A. Bilmes
cs.LGcs.CLcs.IRarXiv:1210.4871v12012
Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment
Yin Fang, Qiao Jin, Shubo Tian +24
cs.CLcs.AIcs.CYarXiv:2609.01202v12026
Accelerating scientific discovery with Co-Scientist
Juraj Gottweis, Wei-Hung Weng, Alexander Daryin +48
cs.AIcs.CLcs.HCarXiv:2502.18864v22025
ToolRL: Reward is All Tool Learning Needs
Cheng Qian, Emre Can Acikgoz, Qi He +5
cs.LGcs.AIcs.CLarXiv:2504.13958v12025
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
Robert L. Logan, Nelson F. Liu, Matthew E. Peters +2
cs.CLarXiv:1906.07241v22019
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1155
cs.LGcs.AIcs.CLarXiv:2501.14249v112025
Designing Proactive Thought Partners for Writing
Chao Zhang, Abe Davis, Chih-Wei Chen +1
cs.HCcs.AIcs.CLarXiv:2609.01588v12026
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh +3
cs.AIcs.CLcs.LGarXiv:2506.06941v32025
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunović, Jasper Dekoninck, Ivo Petrov +2
cs.AIcs.CLarXiv:2505.23281v32025
On the Effect of Dropping Layers of Pre-trained Transformer Models
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +1
cs.CLcs.LGarXiv:2004.03844v32020
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui, Yu-Neng Chuang, Guanchu Wang +9
cs.CLarXiv:2503.16419v42025
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Memory in the Age of AI Agents
Yuyang Hu, Shichun Liu, Yanwei Yue +44
cs.CLcs.AIarXiv:2512.13564v22025
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.CLarXiv:2503.01840v32025
DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
Z. Z. Ren, Zhihong Shao, Junxiao Song +15
cs.CLcs.AIarXiv:2504.21801v22025
Faithful Logical Reasoning via Symbolic Chain-of-Thought
Jundong Xu, Hao Fei, Liangming Pan +3
cs.CLarXiv:2405.18357v22024
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang +7
cs.HCcs.AIcs.CLarXiv:2501.04227v22025
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
cs.CLarXiv:2609.04173v12026
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Jonas Geiping, Sean McLeish, Neel Jain +6
cs.LGcs.CLarXiv:2502.05171v22025
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Runjin Chen, Andy Arditi, Henry Sleight +2
cs.CLcs.LGarXiv:2507.21509v32025
LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
Senyu Fei, Siyin Wang, Junhao Shi +10
cs.ROcs.CLcs.CVarXiv:2510.13626v32025
DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News
Jacopo Staiano, Marco Guerini
cs.CLcs.CYarXiv:1405.1605v12014
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy, Ben Bogin, Jonathan Berant
cs.CLarXiv:2212.06800v32022
Muon is Scalable for LLM Training
Jingyuan Liu, Jianlin Su, Xingcheng Yao +25
cs.LGcs.AIcs.CLarXiv:2502.16982v12025
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Zhenru Zhang, Chujie Zheng, Yangzhen Wu +6
cs.CLcs.AIcs.LGarXiv:2501.07301v22025
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta +2
cs.CLcs.LGarXiv:2004.07453v22020
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Xiaoxi Li, Guanting Dong, Jiajie Jin +5
cs.AIcs.CLcs.IRarXiv:2501.05366v12025
Reasoning with Exploration: An Entropy Perspective
Daixuan Cheng, Shaohan Huang, Xuekai Zhu +4
cs.CLarXiv:2506.14758v42025
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh +2
cs.CLcs.LGarXiv:2503.01307v22025
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani +10
cs.LGcs.AIcs.CLarXiv:2510.04618v32025
Process Reinforcement through Implicit Rewards
Ganqu Cui, Lifan Yuan, Zefan Wang +22
cs.LGcs.AIcs.CLarXiv:2502.01456v22025
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Yuzhang Luo, Chenpeng Wang, Jianhui Chen +1
cs.CLcs.AIcs.LGarXiv:2609.02771v12026
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
Paul Röttger, Valentin Hofmann, Valentina Pyatkin +4
cs.CLcs.AIarXiv:2402.16786v22024
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin, Z. Z. Ren, Junxiao Song +14
cs.CLcs.AIcs.LGarXiv:2408.08152v12024
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li, Haotian Liu, Liunian Harold Li +8
cs.CVcs.CLcs.LGarXiv:2204.08790v62022
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Arman Cohan, Bart Desmet, Andrew Yates +3
cs.CLarXiv:1806.05258v22018
Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo, Darsh J Shah, Regina Barzilay
cs.CLarXiv:1809.02256v22018
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
Yu Kang, Xianghui Sun, Liangyu Chen +1
cs.CLcs.LGarXiv:2412.11664v12024
VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages
Usneek Singh, Poorvaja Veera Balaji Kumar, Parth Nanda +4
cs.CLcs.AIarXiv:2609.01788v12026
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
Chunyuan Yuan, Qianwen Ma, Wei Zhou +2
cs.CLcs.IRcs.SIarXiv:1909.04465v22019
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee, Senthil Purushwalkam, Michael Cogswell +3
cs.CVcs.CLarXiv:1606.07839v32016
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li +2
cs.CLcs.LGarXiv:1909.02480v32019
NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning
Meixuan Chen, Hehan Li, Ruizhi Zhao +8
cs.CLcs.AIarXiv:2609.02366v12026
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
Jingyang Yuan, Huazuo Gao, Damai Dai +12
cs.CLcs.AIcs.LGarXiv:2502.11089v22025
ColPali: Efficient Document Retrieval with Vision Language Models
Manuel Faysse, Hugues Sibille, Tony Wu +4
cs.IRcs.CLcs.CVarXiv:2407.01449v62024
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
KaShun Shum, Shizhe Diao, Tong Zhang
cs.CLarXiv:2302.12822v32023
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Haozhan Shen, Peng Liu, Jingcheng Li +9
cs.CVcs.CLarXiv:2504.07615v22025
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt, Albert Webson, Victor Sanh +4
cs.CLcs.HCcs.LGarXiv:2208.07852v12022
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang, Yong Jiang, Nguyen Bach +4
cs.CLcs.AIcs.LGarXiv:2010.05006v42020
Learning to Understand Phrases by Embedding the Dictionary
Felix Hill, Kyunghyun Cho, Anna Korhonen +1
cs.CLarXiv:1504.00548v42015

Computation and Language

Zep: A Temporal Knowledge Graph Architecture for Agent Memory

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Learning a Recurrent Visual Representation for Image Caption Generation

WebThinker: Empowering Large Reasoning Models with Deep Research Capability

FinBen: A Holistic Financial Benchmark for Large Language Models

Learning to Reason under Off-Policy Guidance

Beyond Magnitude: Contrastive Routing for Modular Mixture-of-Experts

Learning Mixtures of Submodular Shells with Application to Document Summarization

Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment

Accelerating scientific discovery with Co-Scientist

ToolRL: Reward is All Tool Learning Needs

Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling

Humanity's Last Exam

Designing Proactive Thought Partners for Writing

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

On the Effect of Dropping Layers of Pre-trained Transformer Models

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Memory in the Age of AI Agents

EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Faithful Logical Reasoning via Symbolic Chain-of-Thought

Agent Laboratory: Using LLM Agents as Research Assistants

Last Translation Benchmark

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Persona Vectors: Monitoring and Controlling Character Traits in Language Models

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News

Diverse Demonstrations Improve In-context Compositional Generalization

Muon is Scalable for LLM Training

The Lessons of Developing Process Reward Models in Mathematical Reasoning

The Right Tool for the Job: Matching Model and Instance Complexities

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reasoning with Exploration: An Entropy Perspective

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Process Reinforcement through Implicit Rewards

From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions

Multi-Source Domain Adaptation with Mixture of Experts

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness

VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

ColPali: Efficient Document Retrieval with Vision Language Models

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

Automated Concatenation of Embeddings for Structured Prediction

Learning to Understand Phrases by Embedding the Dictionary