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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4,081 to 4,140 of 11,252

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes
Tianyu Wang, Yuxuan Zhou, Wenbin Wang +3
cs.CLarXiv:2607.26627v12026
Kimi Linear: An Expressive, Efficient Attention Architecture
Kimi Team, Yu Zhang, Zongyu Lin +57
cs.CLcs.LGarXiv:2510.26692v22025
Token Time Continuous Diffusion for Language Modeling
Parikshit Bansal, Sujay Sanghavi
cs.CLcs.AIarXiv:2607.14106v12026
Group Entropy-Controlled Policy Optimization
Guangran Cheng, Chengqi Lyu, Songyang Gao +2
cs.CLarXiv:2607.16850v12026
UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents
Niu Lian, Tongbo Chen, Zhehao Yu +8
cs.CLcs.AIcs.CVarXiv:2607.04425v22026
SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference
Amirhossein Abaskohi, Giuseppe Carenini, Peter West +1
cs.CLarXiv:2606.31145v12026
Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity?
Anmol Goel, Iryna Gurevych
cs.AIcs.CLarXiv:2606.23189v12026
Orchestra-o1: Omnimodal Agent Orchestration
Fan Zhang, Vireo Zhang, Shengju Qian +8
cs.AIcs.CLcs.CVarXiv:2606.13707v12026
Redesign Mixture-of-Experts Routers with Manifold Power Iteration
Songhao Wu, Ang Lv, Ruobing Xie +1
cs.LGcs.AIcs.CLarXiv:2606.12397v12026
UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs
Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Liang Luo +4
cs.CLarXiv:2606.06622v32026
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
Thanawat Lodkaew, Johannes Ackermann, Soichiro Nishimori +3
cs.LGcs.AIcs.CLarXiv:2606.07379v22026
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints
Jiayu Liu, Cheng Qian, Zhenhailong Wang +10
cs.CLarXiv:2606.05622v22026
GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards
Tej Deep Pala, Vernon Toh, Soujanya Poria
cs.CLarXiv:2606.04889v12026
OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification
Yuhang Zhou, Lizhu Zhang, Yifan Wu +5
cs.LGcs.CLarXiv:2606.01476v22026
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
Xinle Deng, Ruobin Zhong, Hujin Peng +15
cs.CLcs.AIcs.LGarXiv:2605.28732v32026
Parallax: Parameterized Local Linear Attention for Language Modeling
Yifei Zuo, Dhruv Pai, Zhichen Zeng +3
cs.LGcs.AIcs.CLarXiv:2605.29157v12026
RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains
Haoxiang Jiang, Zihan Dong, Tianci Liu +5
cs.LGcs.CLarXiv:2605.29156v12026
Pruning and Distilling Mixture-of-Experts into Dense Language Models
Junhyuck Kim, Jihun Yun, Haechan Kim +3
cs.CLcs.AIcs.LGarXiv:2605.28207v22026
Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics
Maciej Chrabąszcz, Aleksander Szymczyk, Marcin Sendera +2
cs.CLcs.CRarXiv:2605.18549v12026
optimize_anything: A Universal API for Optimizing any Text Parameter
Lakshya A Agrawal, Donghyun Lee, Shangyin Tan +11
cs.CLcs.AIcs.LGarXiv:2605.19633v12026
Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
Chanuk Lee, Sangwoo Park, Minki Kang +1
cs.AIcs.CLarXiv:2605.15726v12026
Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution
Saisab Sadhu, Pratinav Seth, Vinay Kumar Sankarapu
cs.LGcs.CLcs.ETarXiv:2605.15138v12026
HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts
Tao Zhong, Dongzhe Zheng, Christine Allen-Blanchette
cs.LGcs.AIcs.CLarXiv:2605.13997v12026
Crosslingual On-Policy Self-Distillation for Multilingual Reasoning
Yihong Liu, Raoyuan Zhao, Michael A. Hedderich +1
cs.CLarXiv:2605.09548v12026
Summaries:한국어
Reliable Chain-of-Thought via Prefix Consistency
Naoto Iwase, Yuki Ichihara, Mohammad Atif Quamar +1
stat.MLcs.CLcs.LGarXiv:2605.07654v12026
G-Zero: Self-Play for Open-Ended Generation from Zero Data
Chengsong Huang, Haolin Liu, Tong Zheng +7
cs.LGcs.AIcs.CLarXiv:2605.09959v12026
Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
Jiwan Chung, Heechan Choi, Seon Joo Kim
cs.LGcs.CLarXiv:2605.07755v12026
Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control
Bolian Li, Yifan Wang, Yi Ding +3
cs.LGcs.CLstat.MLarXiv:2604.26326v22026
Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis
Zhisong Qiu, Shuofei Qiao, Kewei Xu +4
cs.CLcs.AIcs.CEarXiv:2604.24198v22026
R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL
Hojae Han, Yeonseok Jeong, Seung-won Hwang +2
cs.SEcs.AIcs.CLarXiv:2604.25325v12026
Convergent Evolution: How Different Language Models Learn Similar Number Representations
Deqing Fu, Tianyi Zhou, Mikhail Belkin +2
cs.CLcs.AIcs.LGarXiv:2604.20817v22026
On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability
Yongkang Li, Panagiotis Eustratiadis, Yixing Fan +1
cs.IRcs.CLarXiv:2604.16576v12026
$p1$: Better Prompt Optimization with Fewer Prompts
Zhaolin Gao, Yu, Wang +4
cs.LGcs.CLarXiv:2604.08801v12026
Learning to Hint for Reinforcement Learning
Yu Xia, Canwen Xu, Zhewei Yao +2
cs.LGcs.AIcs.CLarXiv:2604.00698v12026
Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models
Liancheng Fang, Aiwei Liu, Henry Peng Zou +7
cs.CLarXiv:2604.00375v12026
Parametric Social Identity Injection and Diversification in Public Opinion Simulation
Hexi Wang, Yujia Zhou, Bangde Du +2
cs.CLarXiv:2603.16142v22026
Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training
Elnaz Rahmati, Nona Ghazizadeh, Zhivar Sourati +2
cs.LGcs.CLarXiv:2603.17198v22026
Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
Aozhe Wang, Yuchen Yan, Nan Zhou +5
cs.CLarXiv:2603.15611v12026
ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
Ruizhong Qiu, Hanqing Zeng, Yinglong Xia +15
cs.LGcs.CLarXiv:2603.10160v12026
SciDER: Scientific Data-centric End-to-end Researcher
Ke Lin, Owais Aijaz, Yilin Lu +3
cs.AIcs.CLarXiv:2603.01421v32026
Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
Chris Samarinas, Haw-Shiuan Chang, Hamed Zamani
cs.CLcs.IRarXiv:2602.23440v42026
Learning Personalized Agents from Human Feedback
Kaiqu Liang, Julia Kruk, Shengyi Qian +9
cs.AIcs.CLcs.LGarXiv:2602.16173v12026
STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
Shiqi Liu, Zeyu He, Guojian Zhan +10
cs.CLcs.AIarXiv:2602.15620v52026
Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
Kishan Panaganti, Zhenwen Liang, Wenhao Yu +2
cs.LGcs.AIcs.CLarXiv:2601.19280v12026
CooperBench: Why Coding Agents Cannot be Your Teammates Yet
Arpandeep Khatua, Hao Zhu, Peter Tran +8
cs.LGcs.AIcs.CLarXiv:2601.13295v22026
Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
Yanqi Dai, Yuxiang Ji, Xiao Zhang +3
cs.AIcs.CLarXiv:2601.20614v12026
AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios
Kaiyuan Chen, Qimin Wu, Taiyu Hou +42
cs.CLarXiv:2601.20613v22026
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection
Tao Liu, Taiqiang Wu, Runming Yang +3
cs.CLcs.AIarXiv:2601.09195v32026
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Youwei Liu, Jian Wang, Hanlin Wang +2
cs.CLcs.AIcs.LGarXiv:2601.08955v22026
$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Victor Barres, Honghua Dong, Soham Ray +2
cs.AIcs.CLarXiv:2506.07982v12025
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
An Yang, Beichen Zhang, Binyuan Hui +13
cs.CLcs.AIcs.LGarXiv:2409.12122v12024
End-to-End Bias Mitigation by Modelling Biases in Corpora
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
cs.CLarXiv:1909.06321v32019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei +1134
cs.CLcs.AIarXiv:2403.05530v52024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yue Yu, Wei Ping, Zihan Liu +5
cs.CLcs.AIcs.IRarXiv:2407.02485v12024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Tianbao Xie, Danyang Zhang, Jixuan Chen +14
cs.AIcs.CLarXiv:2404.07972v22024
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu +6
cs.CLcs.AIarXiv:2406.04770v22024
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
Zhengyuan Yang, Linjie Li, Kevin Lin +4
cs.CVcs.CLarXiv:2309.17421v22023
The opportunities and risks of large language models in mental health
Hannah R. Lawrence, Renee A. Schneider, Susan B. Rubin +3
cs.CLcs.AIcs.CYarXiv:2403.14814v32024
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Ramy Baly, Giovanni Da San Martino, James Glass +1
cs.CLarXiv:2010.05338v12020
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Soham De, Samuel L. Smith, Anushan Fernando +14
cs.LGcs.CLarXiv:2402.19427v12024

Computation and Language

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes

Kimi Linear: An Expressive, Efficient Attention Architecture

Token Time Continuous Diffusion for Language Modeling

Group Entropy-Controlled Policy Optimization

UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents

SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference

Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity?

Orchestra-o1: Omnimodal Agent Orchestration

Redesign Mixture-of-Experts Routers with Manifold Power Iteration

UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs

Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests

AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards

OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems

Parallax: Parameterized Local Linear Attention for Language Modeling

RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains

Pruning and Distilling Mixture-of-Experts into Dense Language Models

Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics

optimize_anything: A Universal API for Optimizing any Text Parameter

Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR

Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts

Crosslingual On-Policy Self-Distillation for Multilingual Reasoning

Reliable Chain-of-Thought via Prefix Consistency

G-Zero: Self-Play for Open-Ended Generation from Zero Data

Rethinking State Tracking in Recurrent Models Through Error Control Dynamics

Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis

R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL

Convergent Evolution: How Different Language Models Learn Similar Number Representations

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability

$p1$: Better Prompt Optimization with Fewer Prompts

Learning to Hint for Reinforcement Learning

Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models

Parametric Social Identity Injection and Diversification in Public Opinion Simulation

Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning

SciDER: Scientific Data-centric End-to-end Researcher

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning

Learning Personalized Agents from Human Feedback

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens

Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning

CooperBench: Why Coding Agents Cannot be Your Teammates Yet

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation

AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios

ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection

Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models

$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

End-to-End Bias Mitigation by Modelling Biases in Corpora

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

The opportunities and risks of large language models in mental health

We Can Detect Your Bias: Predicting the Political Ideology of News Articles

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models