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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4,441 to 4,500 of 11,259

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
Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs
Prakhar Khatri
cs.CVcs.CLarXiv:2609.03820v12026
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Jiazhan Feng, Shijue Huang, Xingwei Qu +6
cs.CLcs.AIarXiv:2504.11536v22025
Reasoning Models Don't Always Say What They Think
Yanda Chen, Joe Benton, Ansh Radhakrishnan +12
cs.CLcs.AIcs.LGarXiv:2505.05410v12025
HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks
Jongkyung Shin, Minguk Jeon, Chanwoo Park +1
cs.CLarXiv:2609.02772v12026
Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
Mingxin Li, Yanzhao Zhang, Dingkun Long +9
cs.CLarXiv:2601.04720v22026
Kimi K2: Open Agentic Intelligence
Kimi Team, Yifan Bai, Yiping Bao +197
cs.LGcs.AIcs.CLarXiv:2507.20534v22025
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Jingcheng Hu, Yinmin Zhang, Qi Han +3
cs.LGcs.CLarXiv:2503.24290v22025
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
GLM-4. 5 Team, :, Aohan Zeng +169
cs.CLarXiv:2508.06471v12025
Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression
Viacheslav Yusupov, Daria Cherniuk, Evgeny Frolov
cs.LGcs.AIcs.CLarXiv:2609.02451v12026
Bounded Personas Match Retrieval on Classification but Not Regression for a Frozen Agent
JaeHa Yoon, Minjun Park, Seoyeon Kim +3
cs.CLarXiv:2609.02890v12026
Where Does Harness-Optimization Value Live? Localized Gains and the Budget-Splitting Trap in Self-Evolving LLM Agents
Michael Nguyen, Wei Chen Tan, Nurul Aisyah Hassan +3
cs.CLarXiv:2609.02889v12026
Learning to Fuse LLMs with Ontology Rankers for Rare-Disease Diagnosis
Zhaoyang Jiang, Zhizhong Fu, Yunsoo Kim +5
cs.CLarXiv:2609.02473v12026
CORAL: An LLM-Native Harness for Production Recommender Systems
Muhammad Rafay Azhar, Yuhang Zhou, Gilbert Jiang +7
cs.CLarXiv:2609.02730v12026
AI agents reshape consensus formation in human groups
Lin Chen, Ziyi Liu, Xia Hu +1
cs.CLcs.CYcs.SIarXiv:2609.02122v12026
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
Heming Xia, Tao Ge, Peiyi Wang +3
cs.CLcs.LGarXiv:2203.16487v62022
R$^{2}$Adapter: A Routing and Rewriting Adapter for Efficient Hybrid RAG
Yucan Guo, Miao Su, Saiping Guan +6
cs.CLcs.IRarXiv:2609.02894v12026
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
Yichun Yin, Furu Wei, Li Dong +3
cs.CLarXiv:1605.07843v12016
End-to-end Generative Pretraining for Multimodal Video Captioning
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab +1
cs.CVcs.AIcs.CLarXiv:2201.08264v22022
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
Michael J. Q. Zhang, Eunsol Choi
cs.CLarXiv:2109.06157v12021
Margins, Not Windows: Training-Free Per-Step Lossy Speculative Decoding
Oszkár Urbán, Young D. Kwon, Stylianos I. Venieris +1
cs.CLarXiv:2609.02897v12026
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Jesse Dodge, Andreea Gane, Xiang Zhang +5
cs.CLcs.LGarXiv:1511.06931v62015
Probe Generalization as Subspace Selection for OOD Deception Detection
Daniel Yoo, Adrians Skapars
cs.CLarXiv:2609.02893v12026
Counterexamples as Feedback for Agent Self-Correction
Sidhesh Badrinarayan, Adithya Parthasarathy
cs.CLcs.AIarXiv:2609.02892v12026
SenseBERT: Driving Some Sense into BERT
Yoav Levine, Barak Lenz, Or Dagan +6
cs.CLcs.LGarXiv:1908.05646v22019
Before the Script, Set the Stage: How Worldview Simulation Amplifies Psychologically Grounded Persuasion in Multi-Turn Jailbreaking
Siyu Chen, Haoran Wang, Xiaojian Li +3
cs.CLcs.AIarXiv:2609.02414v12026
BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events
Parth Bramhecha, Smit Deshmukh, Sairaj Bodhale +2
cs.CLcs.LGarXiv:2609.02895v12026
Personalizing Dialogue Agents via Meta-Learning
Zhaojiang Lin, Andrea Madotto, Chien-Sheng Wu +1
cs.CLcs.AIarXiv:1905.10033v12019
Text Segmentation as a Supervised Learning Task
Omri Koshorek, Adir Cohen, Noam Mor +2
cs.CLarXiv:1803.09337v12018
SFAD: Speculative Factuality-Aware Decoding
Guanqiao Chen, Di Wang, Lijie Hu
cs.CLarXiv:2609.00796v22026
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Weihao Zeng, Yuzhen Huang, Qian Liu +4
cs.LGcs.AIcs.CLarXiv:2503.18892v32025
Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs
Jingtan Wang, Arun Verma, Xiaoqiang Lin +4
cs.CLcs.AIcs.LGarXiv:2609.01573v12026
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Li Zhong, Zilong Wang, Jingbo Shang
cs.SEcs.AIcs.CLarXiv:2402.16906v62024
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal, Shangyin Tan, Dilara Soylu +14
cs.CLcs.AIcs.LGarXiv:2507.19457v22025
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Apoorv Saxena, Adrian Kochsiek, Rainer Gemulla
cs.CLcs.LGarXiv:2203.10321v12022

Computation and Language

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

Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reasoning Models Don't Always Say What They Think

HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Kimi K2: Open Agentic Intelligence

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression

Bounded Personas Match Retrieval on Classification but Not Regression for a Frozen Agent

Where Does Harness-Optimization Value Live? Localized Gains and the Budget-Splitting Trap in Self-Evolving LLM Agents

Learning to Fuse LLMs with Ontology Rankers for Rare-Disease Diagnosis

CORAL: An LLM-Native Harness for Production Recommender Systems

AI agents reshape consensus formation in human groups

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

R$^{2}$Adapter: A Routing and Rewriting Adapter for Efficient Hybrid RAG

Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction

End-to-end Generative Pretraining for Multimodal Video Captioning

SituatedQA: Incorporating Extra-Linguistic Contexts into QA

Margins, Not Windows: Training-Free Per-Step Lossy Speculative Decoding

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems

Probe Generalization as Subspace Selection for OOD Deception Detection

Counterexamples as Feedback for Agent Self-Correction

SenseBERT: Driving Some Sense into BERT

Before the Script, Set the Stage: How Worldview Simulation Amplifies Psychologically Grounded Persuasion in Multi-Turn Jailbreaking

BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events

Personalizing Dialogue Agents via Meta-Learning

Text Segmentation as a Supervised Learning Task

SFAD: Speculative Factuality-Aware Decoding

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs

Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Sequence-to-Sequence Knowledge Graph Completion and Question Answering