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.

Search paper metadata (including unsummarized papers)

3,181 to 3,240 of 11,199

LLMs for Explainable AI: A Comprehensive Survey
Ahsan Bilal, David Ebert, Beiyu Lin
cs.AIcs.CLarXiv:2504.00125v12025
Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports
Safayat Bin Hakim, Houbing Herbert Song
cs.CRcs.AIcs.CLarXiv:2609.01671v12026
LLM Post-Training: A Deep Dive into Reasoning Large Language Models
Komal Kumar, Tajamul Ashraf, Omkar Thawakar +7
cs.CLcs.CVarXiv:2502.21321v22025
WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Zile Qiao, Guoxin Chen, Xuanzhong Chen +13
cs.CLarXiv:2509.13309v22025
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
Ziliang Wang, Xuhui Zheng, Kang An +4
cs.CLcs.AIcs.IRarXiv:2505.15107v22025
MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization
Haina Zhu, Yizhi Zhou, Hangting Chen +6
cs.SDcs.AIcs.CLarXiv:2501.01108v22025
Exploring the Impact of Temperature on Large Language Models:Hot or Cold?
Lujun Li, Lama Sleem, Niccolo' Gentile +2
cs.CLarXiv:2506.07295v12025
Investigating Assistant Bias in LLM User Simulators Using a Role Vector
Daeheon Jeong, Yoonjoo Lee, Eugene Choi +2
cs.CLcs.HCarXiv:2609.00608v12026
Retrieval-Augmented Generation with Conflicting Evidence
Han Wang, Archiki Prasad, Elias Stengel-Eskin +1
cs.CLcs.AIarXiv:2504.13079v22025
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
Yunxin Li, Zhenyu Liu, Zitao Li +19
cs.CVcs.CLarXiv:2505.04921v22025
Overview of the TREC 2022 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +4
cs.IRcs.AIcs.CLarXiv:2507.10865v12025
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Mingqi Wu, Zhihao Zhang, Qiaole Dong +11
cs.LGcs.AIcs.CLarXiv:2507.10532v32025
On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang +8
cs.CLcs.AIarXiv:2502.05589v32025
Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics
Maksim Evdokimov, Matvey Ivanov, Dmitrii Tsiupin +3
cs.CLarXiv:2609.01575v12026
Real or Fake? Learning to Discriminate Machine from Human Generated Text
Anton Bakhtin, Sam Gross, Myle Ott +3
cs.LGcs.CLstat.MLarXiv:1906.03351v22019
From Rollouts to Recipes: Self-Contained Post-Training for LLMs
Yifei Li, Lingling Zhang, Muye Huang +3
cs.CLarXiv:2609.01422v12026
ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues
Huimin Wang, Zhengyi Zhao, Yutian Zhao
cs.CLarXiv:2609.01111v12026
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
Jianing Yang, Xuweiyi Chen, Shengyi Qian +4
cs.CVcs.AIcs.CLarXiv:2309.12311v12023
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi +64
cs.CLcs.AIcs.PLarXiv:2305.06161v22023
TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems
Chen Xu, Yicheng Hu, Ruizi Wang +4
cs.CLarXiv:2605.09539v12026
Modality Fault Lines: Structural Corruptions Reveal Fragile Omni-Modal Reasoning
Zhaolu Kang, Meixin Wu, Yu Xue +6
cs.CLarXiv:2608.29278v12026
Temporal Leakage in Financial News NLP: A Multi-Architecture Audit with a Regime-Specific M&A Signal
Chenhao Xue, Raslen Guesmi, Siwei Feng +5
cs.CLcs.LGarXiv:2608.17223v12026
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wenhao Yu +20
cs.ROcs.CLcs.CVarXiv:2402.07872v12024
Recursive Multi-Agent Systems
Jiaru Zou, Rui Pan, Ruizhong Qiu +8
cs.AIcs.CLcs.LGarXiv:2604.25917v22026
Summaries:한국어
Building Production-Ready Probes For Gemini
János Kramár, Joshua Engels, Zheng Wang +4
cs.LGcs.AIcs.CLarXiv:2601.11516v42026
EnvHarness: Awakening Static Worlds for Agent Learning
Chengsong Huang, Zifeng Wang, Rujun Han +14
cs.AIcs.CLcs.LGarXiv:2608.19880v12026
Summaries:简体中文
Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning
Sajib Acharjee Dip, Dawei Zhou, Liqing Zhang
cs.AIcs.CLarXiv:2606.19808v12026
ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
Rui Meng, Bhavana Dalvi Mishra, Jiefeng Chen +10
cs.AIcs.CLcs.MAarXiv:2605.26340v12026
No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
Xu Yang, Zhizhou Sha, Junbo Li +10
cs.CLarXiv:2606.13044v12026
Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation
Xingyu Su, Jacob Helwig, Shubham Parashar +6
cs.CLcs.AIarXiv:2606.06712v12026
CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
Sijia Cui, Pengyu Cheng, Jiajun Song +6
cs.LGcs.AIcs.CLarXiv:2603.10101v12026
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?
Yuru Wang, Lejun Cheng, Yuxin Zuo +14
cs.CLarXiv:2606.24530v22026
Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory
Rubin Wei, Jiaqi Cao, Jiarui Wang +4
cs.CLarXiv:2607.27919v12026
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Jianlyu Chen, Yuyang Hu, Hongjin Qian +8
cs.AIcs.CLarXiv:2609.02749v12026
Pretraining Large Language Models with NVFP4
NVIDIA, Felix Abecassis, Anjulie Agrusa +87
cs.CLcs.AIcs.LGarXiv:2509.25149v22025
SkillOS: Learning Skill Curation for Self-Evolving Agents
Siru Ouyang, Jun Yan, Yanfei Chen +13
cs.AIcs.CLarXiv:2605.06614v12026
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aakshita Chandiramani +544
cs.LGcs.AIcs.CLarXiv:2604.12374v12026
PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans
Nabaraj Subedi, Shuvo Dip Datta, Ahmed Abdelaty +1
cs.IRcs.CLcs.CVarXiv:2608.26091v12026
DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents
Nikita Gupta, Riju Chatterjee, Lukas Haas +9
cs.CLarXiv:2601.20975v12026
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
Selim Kuzucu, Alessio Tonioni, Vasile Lup +3
cs.CVcs.AIcs.CLarXiv:2605.30126v12026
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
Zijun Wang, Haoqin Tu, Yuhan Wang +6
cs.CLcs.AIarXiv:2504.01903v22025
On Data Engineering for Scaling LLM Terminal Capabilities
Renjie Pi, Grace Lam, Mohammad Shoeybi +3
cs.CLarXiv:2602.21193v12026
Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO
Prakhar Gupta, Vaibhav Gupta
cs.CLcs.AIcs.LGarXiv:2609.00925v12026
Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers
Abrar Alotaibi, Muhammad Shahid Jabbar, Sadam Al-Azani +1
cs.CRcs.AIcs.CLarXiv:2608.28327v12026
NeuroCogMap Reveals Cognitive Organization of Large Language Models
Zhongxiang Sun, Haolang Lu, Qiang Ma +11
q-bio.NCcs.AIcs.CLarXiv:2607.00397v12026
Summaries:한국어
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman +4
cs.CVcs.CLcs.LGarXiv:2205.01397v22022
Geometric-Mean Policy Optimization
Yuzhong Zhao, Yue Liu, Junpeng Liu +9
cs.CLarXiv:2507.20673v32025
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
Xiaoou Liu, Tiejin Chen, Longchao Da +3
cs.CLarXiv:2503.15850v22025
Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
Gang Li, Jizhong Liu, Heinrich Dinkel +3
cs.SDcs.AIcs.CLarXiv:2503.11197v42025
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu, Yash Savani, Fei Fang +1
cs.LGcs.AIcs.CLarXiv:2504.13818v52025
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification
Pinlong Zhaoa, Linlin Houb, Ou Wua
cs.CLcs.LGarXiv:1906.04501v12019
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Chengxing Xie, Bowen Li, Chang Gao +4
cs.CLarXiv:2501.05040v32025
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Ryota Tanaka, Taichi Iki, Taku Hasegawa +3
cs.CLcs.AIcs.CVarXiv:2504.09795v12025
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng, Viktoria Abrecht
cs.CLcs.IRarXiv:1508.06034v12015
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan, Tong Wang, Caglar Gulcehre +5
cs.CLarXiv:1705.02012v22017
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Chengzhi Liu, Zhongxing Xu, Qingyue Wei +5
cs.CLcs.AIcs.CVarXiv:2505.21523v32025
WritingBench: A Comprehensive Benchmark for Generative Writing
Yuning Wu, Jiahao Mei, Ming Yan +8
cs.AIcs.CLarXiv:2503.05244v42025
Lessons from the Trenches on Reproducible Evaluation of Language Models
Stella Biderman, Hailey Schoelkopf, Lintang Sutawika +27
cs.CLarXiv:2405.14782v32024
Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs
Deniz Bayazit, Badr AlKhamissi, Antoine Bosselut
cs.CLcs.AIcs.LGarXiv:2609.00155v12026
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
Marc Marone, Orion Weller, William Fleshman +3
cs.CLcs.IRcs.LGarXiv:2509.06888v12025

Computation and Language

LLMs for Explainable AI: A Comprehensive Survey

Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports

LLM Post-Training: A Deep Dive into Reasoning Large Language Models

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization

MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Exploring the Impact of Temperature on Large Language Models:Hot or Cold?

Investigating Assistant Bias in LLM User Simulators Using a Role Vector

Retrieval-Augmented Generation with Conflicting Evidence

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

Overview of the TREC 2022 deep learning track

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

On Memory Construction and Retrieval for Personalized Conversational Agents

Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics

Real or Fake? Learning to Discriminate Machine from Human Generated Text

From Rollouts to Recipes: Self-Contained Post-Training for LLMs

ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived Dialogues

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

StarCoder: may the source be with you!

TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems

Modality Fault Lines: Structural Corruptions Reveal Fragile Omni-Modal Reasoning

Temporal Leakage in Financial News NLP: A Multi-Architecture Audit with a Regime-Specific M&A Signal

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Recursive Multi-Agent Systems

Building Production-Ready Probes For Gemini

EnvHarness: Awakening Static Worlds for Agent Learning

Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence

No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions

Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation

CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?

Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory

Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills

Pretraining Large Language Models with NVFP4

SkillOS: Learning Skill Curation for Self-Evolving Agents

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

PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans

DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

On Data Engineering for Scaling LLM Terminal Capabilities

Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO

Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers

NeuroCogMap Reveals Cognitive Organization of Large Language Models

Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

Geometric-Mean Policy Optimization

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey

Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

Better Summarization Evaluation with Word Embeddings for ROUGE

Machine Comprehension by Text-to-Text Neural Question Generation

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

WritingBench: A Comprehensive Benchmark for Generative Writing

Lessons from the Trenches on Reproducible Evaluation of Language Models

Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning