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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10,921 to 10,980 of 11,238

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
cs.CLcs.AIarXiv:2606.15079v12026
Implicit Reasoning for Large Language Model-based Generative Recommendation
Yinhan He, Liam Collins, Bhuvesh Kumar +3
cs.CLcs.AIarXiv:2606.14142v32026
RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang +9
cs.CLcs.LGarXiv:2605.10899v12026
Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning
Zihao Han, Tiangang Zhang, Huaibin Wang +1
cs.AIcs.CLcs.LOarXiv:2605.11458v32026
IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation
Shijie Lian, Bin Yu, Xiaopeng Lin +8
cs.ROcs.AIcs.CLarXiv:2605.14712v22026
Mint-Agent: Introducing Finance-Native Agentic Foundation Models
Mint-Agent Team, B. Zhang, Yaze Geng +7
cs.CLcs.LGarXiv:2608.16386v12026
Is this Citation on Point?
Apurv Verma
cs.DLcs.CLarXiv:2608.12571v12026
VTInstructor: Visual Trajectory Prompting for Navigation Instruction Generation in Continuous Environments
Haolin Yang, Yuxing Long, Zihan Yang +1
cs.ROcs.AIcs.CLarXiv:2608.15284v12026
RamseyGadgets: A Graph Construction Dataset for LLMs
Zohair Raza Hassan, Deepak Pandita
cs.CLcs.AIarXiv:2608.14999v12026
AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search
Lin Du, Jie Zhou, Yuxuan Cai +6
cs.CLcs.AIarXiv:2608.14621v12026
Tapered Language Models
Reza Bayat, Ali Behrouz, Aaron Courville
cs.LGcs.AIcs.CLarXiv:2606.23670v12026
Personalized Auto-Research: Towards a True AI Co-Scientist
Bo Ni, Franck Dernoncourt, Hongjie Chen +5
cs.AIcs.CLarXiv:2608.14881v12026
OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents
Jiahao Ying, Boxian Ai, Wei Tang +2
cs.CLarXiv:2605.23657v22026
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
Rui Yang, Qianhui Wu, Yuxi Chen +7
cs.LGcs.AIcs.CLarXiv:2606.02031v22026
Poise: Position-Aware One-Instruction Skill Injection for Silent Execution on LLM Agents
Haochang Hao, Dehai Min, Zhifang Zhang +4
cs.CRcs.AIcs.CLarXiv:2606.07943v22026
LENS: In-Context Search via Latent Evidence Exploration over Dynamic Raw Documents
Xingjun Wang, Gongsheng Li, Qi Fan +3
cs.CLcs.AIarXiv:2608.16185v12026
MMAE: A Massive Multitask Audio Editing Benchmark
Ziyang Ma, Ruiqi Yan, Ruiyang Xu +35
cs.SDcs.CLcs.MMarXiv:2606.07229v12026
Prescriptive Scaling Laws for Data Constrained Training
Justin Lovelace, Christian Belardi, Srivatsa Kundurthy +2
cs.LGcs.CLarXiv:2605.01640v12026
ClawGym: A Scalable Framework for Building Effective Claw Agents
Fei Bai, Huatong Song, Shuang Sun +11
cs.CLcs.AIcs.LGarXiv:2604.26904v32026
T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework
Zahra Fazel, Sunanda Gamage, Shayan Shirahmad Gale Bagi +5
cs.AIcs.CLcs.LGarXiv:2608.14953v12026
LLM Agents Already Know When to Call Tools -- Even Without Reasoning
Chung-En Sun, Linbo Liu, Ge Yan +2
cs.CLarXiv:2605.09252v22026
Summaries:한국어
Solve the Loop: Attractor Models for Language and Reasoning
Jacob Fein-Ashley, Paria Rashidinejad
cs.LGcs.AIcs.CLarXiv:2605.12466v12026
SIA: Self Improving AI with Harness & Weight Updates
Prannay Hebbar, Yogendra Manawat, Samuel Verboomen +4
cs.AIcs.CLarXiv:2605.27276v22026
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Jiajie Jin, Yuyang Hu, Kai Qiu +15
cs.CLcs.AIarXiv:2606.11926v12026
Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization
Tony Alex, Wish Suharitdamrong, Sara Atito +5
cs.SDcs.AIcs.CLarXiv:2608.16539v12026
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling
Yafu Li, Runzhe Zhan, Haoran Zhang +25
cs.AIcs.CLarXiv:2605.13301v12026
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
Yiqiao Jin, Yiyang Wang, Lucheng Fu +7
cs.CLcs.AIcs.LGarXiv:2605.06597v22026
Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models
Dehai Min, Giovanni Vaccarino, Huiyi Chen +3
cs.CLarXiv:2605.17672v12026
Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models
Victor Conchello Vendrell, Arnau Padres Masdemont, Niccolò Grillo +3
cs.CLcs.AIcs.LGarXiv:2605.07721v22026
HRM-Text: Efficient Pretraining Beyond Scaling
Guan Wang, Changling Liu, Chenyu Wang +6
cs.CLarXiv:2605.20613v12026
Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
Ngoc Trinh Hung Nguyen, Alonso Silva, Laith Zumot +3
cs.CLcs.AIarXiv:2601.07525v22026
GrepSeek: Training Search Agents for Direct Corpus Interaction
Alireza Salemi, Chang Zeng, Atharva Nijasure +4
cs.CLcs.AIcs.IRarXiv:2605.29307v12026
SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling
Haoran Xu, Hongyu Wang, Yifei Gao +3
cs.CLcs.LGarXiv:2606.09304v12026
Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
Siyuan Huang, Pengyu Cheng, Haotian Liu +10
cs.CLarXiv:2607.22529v12026
IndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages
Sahil Deepak Gawande, Mayank Singh
cs.CLcs.LGarXiv:2607.23242v12026
Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints
Thomas MacDougall, Maksim Kuznetsov, Roman Schutski +5
cs.LGcs.AIcs.CLarXiv:2607.18144v12026
QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks
Jian Xie, Tianhe Lin, Zilu Wang +16
cs.CLarXiv:2605.24218v12026
LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents
Xiaoxuan Peng, Kaiqi Zhang, Xinyu Lu +5
cs.CLarXiv:2605.29559v12026
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
Minrui Xu, Zilin Wang, Mengyi DENG +12
cs.CLcs.LGarXiv:2605.18703v12026
OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories
Yuwen Du, Rui Ye, Shuo Tang +4
cs.AIcs.CLarXiv:2605.04036v12026
ENTLORE: A Graph-Grounded Benchmark for Latent Organizational Reasoning in Enterprise Question Answering
Akrin Zheng, Alexander Wu, Alaia Liu
cs.IRcs.AIcs.CLarXiv:2608.10679v22026
Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding
Hayate Iso, Tiyasa Mitra, Sudipta Mondal +15
cs.LGcs.CLarXiv:2604.26779v12026
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
Shangheng Du, Xiangchao Yan, Jinxin Shi +11
cs.AIcs.CLarXiv:2606.06473v12026
CAPO: Critic-Guided Action-Aligned Policy Optimization for Advancing LLM Agent Capabilities
Daoyu Wang, Qingchuan Li, Mingyue Cheng +6
cs.CLarXiv:2604.18401v52026
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +571
cs.CLcs.AIcs.LGarXiv:2606.15007v12026
Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
Guobin Shen, Xiang Cheng, Chenxiao Zhao +4
cs.LGcs.AIcs.CLarXiv:2605.11609v12026
SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
Bingchen Zhao, Dhruv Srikanth, Yuxiang Wu +1
cs.SEcs.AIcs.CLarXiv:2605.21384v12026
MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory
Minghao Guo, Qingyue Jiao, Zeru Shi +14
cs.CVcs.CLcs.IRarXiv:2605.15128v12026
ECHO: Terminal Agents Learn World Models for Free
Vaishnavi Shrivastava, Piero Kauffmann, Ahmed Awadallah +1
cs.LGcs.CLarXiv:2605.24517v12026
Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO
Yu Tian, Jiawei Chen, Lifan Zheng +5
cs.CLarXiv:2604.27488v12026
HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems
Mingju Chen, Can Lv, Guibin Zhang +2
cs.CLarXiv:2606.01779v12026
From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
Qiliang Liang, Hansi Wang, Zhong Liang +1
cs.CLcs.AIarXiv:2604.24026v42026
ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop
Yining Hong, Jiageng Liu, Han Yin +5
cs.CVcs.AIcs.CLarXiv:2605.18746v22026
SWE-Explore: Benchmarking How Coding Agents Explore Repositories
Shaoqiu Zhang, Yuhang Wang, Jialiang Liang +8
cs.SEcs.CLarXiv:2606.07297v12026
Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form
Parsa Mazaheri
cs.AIcs.CLarXiv:2608.15022v12026
NARRATE: A Multimodal Real-World Australian Driving Dataset for Human-Centred Explanations in Automated Driving
Ashkan Yousefi Zadeh, Zishuo Zhu, Xiaomeng Li +5
cs.CVcs.AIcs.CLarXiv:2608.14767v12026
RecurrentGPT: Expressive Depth through Recurrent Modulation in Transformers
Amr Hegazy, Amr Alanwar, Mostafa Elhoushi
cs.CLcs.LGarXiv:2608.15062v12026
Do LLMs Know What to Ask and When? Evaluating Multi-Turn Information Seeking
Yepeng Huang, Jiawen Zhang, Michelle Dai +4
cs.AIcs.CLcs.LGarXiv:2608.14808v12026
Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents
Tianxin Wei, Zhan Shi, Minhua Lin +14
cs.AIcs.CLarXiv:2608.15071v12026
Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models
Varvara Arzt, Allan Hanbury, Terra Blevins
cs.CLcs.AIarXiv:2608.15129v12026

Computation and Language

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

Implicit Reasoning for Large Language Model-based Generative Recommendation

RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards

Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation

Mint-Agent: Introducing Finance-Native Agentic Foundation Models

Is this Citation on Point?

VTInstructor: Visual Trajectory Prompting for Navigation Instruction Generation in Continuous Environments

RamseyGadgets: A Graph Construction Dataset for LLMs

AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search

Tapered Language Models

Personalized Auto-Research: Towards a True AI Co-Scientist

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Poise: Position-Aware One-Instruction Skill Injection for Silent Execution on LLM Agents

LENS: In-Context Search via Latent Evidence Exploration over Dynamic Raw Documents

MMAE: A Massive Multitask Audio Editing Benchmark

Prescriptive Scaling Laws for Data Constrained Training

ClawGym: A Scalable Framework for Building Effective Claw Agents

T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework

LLM Agents Already Know When to Call Tools -- Even Without Reasoning

Solve the Loop: Attractor Models for Language and Reasoning

SIA: Self Improving AI with Harness & Weight Updates

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization

Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models

Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models

HRM-Text: Efficient Pretraining Beyond Scaling

Thinking Before Constraining: A Unified Decoding Framework for Large Language Models

GrepSeek: Training Search Agents for Direct Corpus Interaction

SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills

IndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages

Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints

QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks

LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents

EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL

OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories

ENTLORE: A Graph-Grounded Benchmark for Latent Organizational Reasoning in Enterprise Question Answering

Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

CAPO: Critic-Guided Action-Aligned Policy Optimization for Advancing LLM Agent Capabilities

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents

MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

ECHO: Terminal Agents Learn World Models for Free

Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO

HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems

From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop

SWE-Explore: Benchmarking How Coding Agents Explore Repositories

Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form

NARRATE: A Multimodal Real-World Australian Driving Dataset for Human-Centred Explanations in Automated Driving

RecurrentGPT: Expressive Depth through Recurrent Modulation in Transformers

Do LLMs Know What to Ask and When? Evaluating Multi-Turn Information Seeking

Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents

Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models