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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3,781 to 3,840 of 11,295

GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
Konstantin Dobler, Federico Scozzafava, Jonathan Janke +2
cs.CLcs.LGarXiv:2608.13698v12026
Does a Language Server Save Tokens for Coding Agents? A Measurement Methodology and Preliminary Study
Pengcheng Xu
cs.CLcs.AIarXiv:2608.13568v12026
NVIDIA-labs OO Agents: Native Python Object-Oriented Agents
Paul Furgale, Severin Klingler, James Nolan +12
cs.AIcs.CLarXiv:2607.20709v12026
Constitutional Midtraining: Content Presence Drives Alignment Gains
Desiree Cho, Cameron Tice, Bernie Hogan +4
cs.CLcs.AIcs.CYarXiv:2607.26654v22026
Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents
Bowen Qin, Yi Xie
cs.IRcs.AIcs.CLarXiv:2607.24882v12026
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation
Ye Yuan, Weien Li, Rui Song +19
cs.LGcs.AIcs.CLarXiv:2607.13431v12026
Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
Maximo Eduardo Rulli, Thomas Vaitses Fontanari, Simone Petruzzi +9
cs.AIcs.CLarXiv:2607.01774v22026
Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue
Nan Li, Albert Gatt, Massimo Poesio
cs.CLcs.AIarXiv:2606.31719v12026
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions
Yuichi Tateno
cs.IRcs.CLarXiv:2606.22778v12026
iOSWorld: A Benchmark for Personally Intelligent Phone Agents
Lawrence Keunho Jang, Mareks Woodside, Geronimo Carom +3
cs.LGcs.CLarXiv:2606.09764v12026
SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
Wai-Chung Kwan, Aryo Pradipta Gema, Joshua Ong Jun Leang +1
cs.CLarXiv:2605.31433v12026
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs
Haozhe Zhao, Shuzheng Si, Zhenhailong Wang +6
cs.CVcs.AIcs.CLarXiv:2605.30611v12026
dMoE: dLLMs with Learnable Block Experts
Sicheng Feng, Zigeng Chen, Gongfan Fang +2
cs.CLarXiv:2605.30876v22026
Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection
Travis Lelle
cs.CRcs.AIcs.CLarXiv:2605.30189v12026
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
Yuchen Cai, Ding Cao, Liang Lin +9
cs.CLarXiv:2605.11739v32026
"I Didn't Make the Micro Decisions": Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration
Eunsu Kim, Jessica R. Mindel, Kyungjin Kim +1
cs.CLarXiv:2605.21363v22026
Language-Switching Triggers Take a Latent Detour Through Language Models
Francis Kulumba, Wissam Antoun, Théo Lasnier +2
cs.CLarXiv:2605.18646v22026
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
Siyuan Guo, Yali Du, Hechang Chen +2
cs.AIcs.CLcs.LGarXiv:2605.06702v12026
MEME: Multi-entity & Evolving Memory Evaluation
Seokwon Jung, Alexander Rubinstein, Arnas Uselis +2
cs.LGcs.CLarXiv:2605.12477v12026
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Yilun Zhao, Jinbiao Wei, Tingyu Song +3
cs.CLcs.IRarXiv:2605.04018v12026
Micro Language Models Enable Instant Responses
Wen Cheng, Tuochao Chen, Karim Helwani +3
cs.CLarXiv:2604.19642v12026
OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training
Haiyue Song, Masao Utiyama
cs.CLcs.AIcs.LGarXiv:2603.28858v22026
The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus
Syed Muhammad Aqdas Rizvi
cs.AIcs.CLcs.CRarXiv:2604.16913v12026
CREATE: Testing LLMs for Associative Creativity
Manya Wadhwa, Tiasa Singha Roy, Harvey Lederman +2
cs.CLarXiv:2603.09970v22026
Human Psychometric Questionnaires Mischaracterize LLM Behavior
Woojung Song, Dongmin Choi, Yoonah Park +3
cs.CLcs.AIarXiv:2509.10078v42025
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review
Elias Hossain, Rajib Rana, Niall Higgins +5
cs.CLcs.CYarXiv:2306.12834v12023
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Jun Zhan, Junqi Dai, Jiasheng Ye +13
cs.CLcs.AIcs.CVarXiv:2402.12226v52024
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Yann Dubois, Xuechen Li, Rohan Taori +6
cs.LGcs.AIcs.CLarXiv:2305.14387v42023
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
Haoyang Li, Shang Wu, Xiaokang Zhang +9
cs.CLcs.DBarXiv:2503.02240v22025
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Danielle Bragg, Oscar Koller, Mary Bellard +9
cs.CVcs.CLcs.CYarXiv:1908.08597v12019
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Tianxin Wei, Noveen Sachdeva, Benjamin Coleman +12
cs.CLcs.AIarXiv:2511.20857v22025
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
Siyan Zhao, Mingyi Hong, Yang Liu +2
cs.LGcs.CLarXiv:2502.09597v12025
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
Qiancheng Zhou, Ruizhe Li
cs.LGcs.AIcs.CLarXiv:2608.29188v12026
dKV-Cache: The Cache for Diffusion Language Models
Xinyin Ma, Runpeng Yu, Gongfan Fang +1
cs.CLarXiv:2505.15781v12025
A Survey of Context Engineering for Large Language Models
Lingrui Mei, Jiayu Yao, Yuyao Ge +12
cs.CLarXiv:2507.13334v22025
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
Yash Khare, Viraj Bagal, Minesh Mathew +3
cs.CVcs.CLcs.LGarXiv:2104.01394v12021
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Sangmin Bae, Yujin Kim, Reza Bayat +8
cs.CLcs.LGarXiv:2507.10524v32025
LocAgent: Graph-Guided LLM Agents for Code Localization
Zhaoling Chen, Xiangru Tang, Gangda Deng +6
cs.SEcs.AIcs.CLarXiv:2503.09089v22025
R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Naman Jain, Jaskirat Singh, Manish Shetty +3
cs.SEcs.CLcs.LGarXiv:2504.07164v12025
RuleMem: Active Rule Memory for Long-Term Conversational Agents
Xingyuan Zeng, Zuohan Wu, Quanming Yao +5
cs.CLcs.IRarXiv:2609.03915v12026
Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma +11
cs.LGcs.AIcs.CLarXiv:2507.19849v12025
AdaptThink: Reasoning Models Can Learn When to Think
Jiajie Zhang, Nianyi Lin, Lei Hou +2
cs.CLcs.AIcs.LGarXiv:2505.13417v12025
Transfiver: Human-AI Co-Inference through a Shared Editable State
Minji Park, Seunghyun Yoon, Hyuk Lim
cs.AIcs.CLcs.HCarXiv:2609.03797v12026
Self-Distilled RLVR
Chenxu Yang, Chuanyu Qin, Qingyi Si +7
cs.LGcs.CLarXiv:2604.03128v22026
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Runze Liu, Junqi Gao, Jian Zhao +5
cs.CLarXiv:2502.06703v12025
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
Ziyang Luo, Zhiqi Shen, Wenzhuo Yang +7
cs.AIcs.CLarXiv:2508.14704v12025
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Shaolei Zhang, Qingkai Fang, Zhe Yang +1
cs.CVcs.AIcs.CLarXiv:2501.03895v22025
Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs
Jiacheng Xu, Wentao Zhang, Zhiyi Lyu +4
cs.CLcs.LGarXiv:2609.03955v12026
Benchmarking Cognitive Biases in Large Language Models as Evaluators
Ryan Koo, Minhwa Lee, Vipul Raheja +3
cs.CLcs.AIcs.LGarXiv:2309.17012v32023
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Wei Chow, Jiageng Mao, Boyi Li +3
cs.CVcs.AIcs.CLarXiv:2501.16411v22025
Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
Anqi Zhang, Yulin Chen, Jane Pan +4
cs.AIcs.CLarXiv:2504.05419v12025
Lost but not erased: Finding traces of a forgotten language in neural speech models
Peter Plantinga, Charlotte Moore, Peter W. Donhauser +2
cs.CLcs.LGarXiv:2608.25976v12026
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
Kunal Handa, Alex Tamkin, Miles McCain +12
cs.CYcs.AIcs.CLarXiv:2503.04761v12025
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan, Ramesh Nallapati, Zhiguo Wang +5
cs.CLcs.AIarXiv:2102.09130v12021
GRIT: Teaching MLLMs to Think with Images
Yue Fan, Xuehai He, Diji Yang +6
cs.CVcs.AIcs.CLarXiv:2505.15879v22025
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
cs.CLcs.NEstat.MLarXiv:1705.05487v12017
When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA
Hyunseo Oh, Chong-Kwon Kim, Yoonhyuk Choi
cs.CLcs.IRarXiv:2609.03454v12026
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Ye Wang, Ziheng Wang, Boshen Xu +14
cs.CVcs.AIcs.CLarXiv:2503.13377v32025
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
Xunhao Lai, Jianqiao Lu, Yao Luo +2
cs.LGcs.CLarXiv:2502.20766v12025
MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
Zexue He, Yu Wang, Churan Zhi +11
cs.CLarXiv:2602.16313v12026

Computation and Language

GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings

Does a Language Server Save Tokens for Coding Agents? A Measurement Methodology and Preliminary Study

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

Constitutional Midtraining: Content Presence Drives Alignment Gains

Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

Subliminal Clocks: Latent Time Modelling in Diffusion Language Models

Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions

iOSWorld: A Benchmark for Personally Intelligent Phone Agents

SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks

Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs

dMoE: dLLMs with Learnable Block Experts

Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation

"I Didn't Make the Micro Decisions": Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration

Language-Switching Triggers Take a Latent Detour Through Language Models

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

MEME: Multi-entity & Evolving Memory Evaluation

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

Micro Language Models Enable Instant Responses

OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus

CREATE: Testing LLMs for Associative Creativity

Human Psychometric Questionnaires Mischaracterize LLM Behavior

Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space

dKV-Cache: The Cache for Diffusion Language Models

A Survey of Context Engineering for Large Language Models

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

LocAgent: Graph-Guided LLM Agents for Code Localization

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents

RuleMem: Active Rule Memory for Long-Term Conversational Agents

Agentic Reinforced Policy Optimization

AdaptThink: Reasoning Models Can Learn When to Think

Transfiver: Human-AI Co-Inference through a Shared Editable State

Self-Distilled RLVR

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs

Benchmarking Cognitive Biases in Large Language Models as Evaluators

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification

Lost but not erased: Finding traces of a forgotten language in neural speech models

Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations

Entity-level Factual Consistency of Abstractive Text Summarization

GRIT: Teaching MLLMs to Think with Images

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding

FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks