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)

3,241 to 3,300 of 11,218

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
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach
Ayeong Lee, Ethan Che, Tianyi Peng
cs.CLcs.AIarXiv:2503.01141v22025
KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training
Meghanadh Pulivarthi, Kushagra Bhushan, Vineet Kumar +5
cs.CLcs.AIarXiv:2609.00082v12026
MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs
Jaap Jumelet, Leonie Weissweiler, Joakim Nivre +1
cs.CLarXiv:2504.02768v42025
Aristotle: IMO-level Automated Theorem Proving
Tudor Achim, Alex Best, Alberto Bietti +20
cs.AIcs.CLarXiv:2510.01346v22025
dParallel: Learnable Parallel Decoding for dLLMs
Zigeng Chen, Gongfan Fang, Xinyin Ma +2
cs.CLarXiv:2509.26488v12025
Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language Models
Jungseob Lee, Seongtae Hong, Dongyub Jude Lee +4
cs.AIcs.CLcs.CVarXiv:2609.00355v12026
A Survey of Word Embeddings Evaluation Methods
Amir Bakarov
cs.CLarXiv:1801.09536v12018
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
Dongya Jia, Zhuo Chen, Jiawei Chen +8
eess.AScs.AIcs.CLarXiv:2502.03930v42025
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Weizhen Li, Jianbo Lin, Zhuosong Jiang +27
cs.AIcs.CLarXiv:2508.13167v12025
SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Defne Tur, Nicholas Meade, Xing Han Lù +6
cs.LGcs.AIcs.CLarXiv:2503.04957v12025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
DiJia Su, Hanlin Zhu, Yingchen Xu +3
cs.CLcs.AIcs.LGarXiv:2502.03275v22025
AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
Mert Cemri, Shubham Agrawal, Akshat Gupta +9
cs.NEcs.AIcs.CLarXiv:2602.20133v12026
Vision-Language Models Do Not Understand Negation
Kumail Alhamoud, Shaden Alshammari, Yonglong Tian +4
cs.CVcs.CLarXiv:2501.09425v22025
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao +5
cs.CLcs.AIarXiv:2311.10774v22023
Investigating Cultural Alignment of Large Language Models
Badr AlKhamissi, Muhammad ElNokrashy, Mai AlKhamissi +1
cs.CLcs.CYarXiv:2402.13231v22024
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
Qingkai Fang, Yan Zhou, Shoutao Guo +2
cs.CLcs.AIcs.SDarXiv:2505.02625v12025
Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict
Jungyeon Lee, Yejin Yoon, Taeuk Kim
cs.CLarXiv:2609.00550v12026
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran +3
cs.CLcs.LGarXiv:2508.09726v12025
AgentEvolver: Towards Efficient Self-Evolving Agent System
Yunpeng Zhai, Shuchang Tao, Cheng Chen +10
cs.LGcs.AIcs.CLarXiv:2511.10395v12025
Neural Semantic Role Labeling with Dependency Path Embeddings
Michael Roth, Mirella Lapata
cs.CLarXiv:1605.07515v22016
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao +3
cs.LGcs.CLarXiv:2504.07086v22025
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Han Zhou, Xingchen Wan, Ruoxi Sun +5
cs.LGcs.AIcs.CLarXiv:2502.02533v22025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
Weihao Xuan, Rui Yang, Heli Qi +29
cs.CLarXiv:2503.10497v22025
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
Shiqi Chen, Tongyao Zhu, Ruochen Zhou +7
cs.CLarXiv:2503.01773v32025
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Deepak Nathani, Lovish Madaan, Nicholas Roberts +14
cs.CLcs.AIcs.LGarXiv:2502.14499v12025
Inducing Programmatic Skills for Agentic Tasks
Zora Zhiruo Wang, Apurva Gandhi, Graham Neubig +1
cs.CLarXiv:2504.06821v22025
When Modality Gap Reduction Fails: Prediction-Level Hubness in CLIP
Shota Sato, Hajime Kiyama, Tosho Hirasawa +1
cs.CLcs.CVarXiv:2609.01103v12026
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
Sanjay Subramanian, William Merrill, Trevor Darrell +3
cs.CVcs.CLarXiv:2204.05991v22022
Text Readability Assessment for Second Language Learners
Menglin Xia, Ekaterina Kochmar, Ted Briscoe
cs.CLarXiv:1906.07580v12019
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Goran Glavas, Robert Litschko, Sebastian Ruder +1
cs.CLarXiv:1902.00508v12019
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen +1
cs.CLarXiv:1904.09482v12019
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
Tom Wollschläger, Jannes Elstner, Simon Geisler +3
cs.LGcs.AIcs.CLarXiv:2502.17420v22025
Memp: Exploring Agent Procedural Memory
Runnan Fang, Yuan Liang, Xiaobin Wang +6
cs.CLcs.AIcs.LGarXiv:2508.06433v42025
Perception-R1: Pioneering Perception Policy with Reinforcement Learning
En Yu, Kangheng Lin, Liang Zhao +11
cs.CVcs.CLarXiv:2504.07954v12025
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum +3
cs.CLcs.AIcs.LGarXiv:2501.05707v22025
Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops
Bowei He, Weixu Zhang, Yili Jin +1
cs.CLcs.SEarXiv:2609.00077v12026
NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings
Aarav Singh
cs.CLarXiv:2609.00256v12026
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo +4
cs.CVcs.AIcs.CLarXiv:2505.18079v42025

Computation and Language

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

How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training

MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs

Aristotle: IMO-level Automated Theorem Proving

dParallel: Learnable Parallel Decoding for dLLMs

Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language Models

A Survey of Word Embeddings Evaluation Methods

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

SafeArena: Evaluating the Safety of Autonomous Web Agents

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization

Vision-Language Models Do Not Understand Negation

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

Investigating Cultural Alignment of Large Language Models

LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis

Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

AgentEvolver: Towards Efficient Self-Evolving Agent System

Neural Semantic Role Labeling with Dependency Path Embeddings

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Inducing Programmatic Skills for Agentic Tasks

When Modality Gap Reduction Fails: Prediction-Level Hubness in CLIP

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Text Readability Assessment for Second Language Learners

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence

Memp: Exploring Agent Procedural Memory

Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops

NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings

Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding