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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2,701 to 2,760 of 11,244

RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
Leyi Pan, Shuchang Tao, Yunpeng Zhai +5
cs.LGcs.CLarXiv:2606.11709v12026
OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
Yihe Deng, Hritik Bansal, Fan Yin +3
cs.CVcs.CLarXiv:2503.17352v32025
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis +6
cs.IRcs.CLcs.LGarXiv:1503.08581v12015
Fine-grained Hallucination Detection and Editing for Language Models
Abhika Mishra, Akari Asai, Vidhisha Balachandran +4
cs.CLarXiv:2401.06855v42024
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren, Yang Liu, Yadong Lu +3
cs.CLcs.LGarXiv:2406.07522v32024
RAIN: Your Language Models Can Align Themselves without Finetuning
Yuhui Li, Fangyun Wei, Jinjing Zhao +2
cs.CLarXiv:2309.07124v22023
A User Simulator for Task-Completion Dialogues
Xiujun Li, Zachary C. Lipton, Bhuwan Dhingra +3
cs.LGcs.AIcs.CLarXiv:1612.05688v32016
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Zihan Qiu, Zeyu Huang, Bo Zheng +7
cs.LGcs.CLarXiv:2501.11873v22025
DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi +1
cs.CVcs.AIcs.CLarXiv:1707.00836v12017
Contextual Agent Security: A Policy for Every Purpose
Lillian Tsai, Eugene Bagdasarian
cs.CRcs.CLcs.LGarXiv:2501.17070v32025
VideoRAG: Retrieval-Augmented Generation over Video Corpus
Soyeong Jeong, Kangsan Kim, Jinheon Baek +1
cs.CVcs.AIcs.CLarXiv:2501.05874v32025
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
Dong Shu, Xuansheng Wu, Haiyan Zhao +4
cs.LGcs.AIcs.CLarXiv:2503.05613v32025
A Survey on Large Language Models for Mathematical Reasoning
Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang +8
cs.AIcs.CLarXiv:2506.08446v12025
Language Models Use Trigonometry to Do Addition
Subhash Kantamneni, Max Tegmark
cs.AIcs.CLcs.LGarXiv:2502.00873v12025
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin, Jannik Kossen, Yarin Gal +1
cs.LGcs.AIcs.CLarXiv:2405.20003v12024
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen, Zhouhan Lin, Chin-Wei Huang +1
cs.CLcs.AIarXiv:1711.02013v22017
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata +1
cs.CLcs.AIarXiv:2009.12005v22020
Glancing Transformer for Non-Autoregressive Neural Machine Translation
Lihua Qian, Hao Zhou, Yu Bao +5
cs.CLarXiv:2008.07905v32020
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
Shrey Pandit, Jiawei Xu, Junyuan Hong +4
cs.CLcs.AIcs.LGarXiv:2502.14302v12025
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
Xiang Liu, Zhenheng Tang, Peijie Dong +5
cs.CLarXiv:2502.00299v52025
R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO
Huanjin Yao, Qixiang Yin, Jingyi Zhang +8
cs.CVcs.AIcs.CLarXiv:2505.16673v12025
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen, Alexander Rudnicky
eess.AScs.CLcs.LGarXiv:2110.06309v32021
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
Nikolaos Livathinos, Christoph Auer, Maksym Lysak +14
cs.CLcs.CVcs.SEarXiv:2501.17887v12025
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin Su, Howard Yen, Mengzhou Xia +12
cs.CLcs.AIcs.IRarXiv:2407.12883v42024
Toppling the Hierarchy in Byte-level Language Modeling
Lukas Edman, Alexander Fraser
cs.CLarXiv:2609.00463v12026
From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education
Gokhan Dogru, Adrià Martín Mor
cs.CLarXiv:2609.00344v12026
Beyond Token Positions: Safety Alignment Across Denoising Steps in Diffusion Language Models
Guoli Wang, Haonan Shi, Tu Ouyang +1
cs.CLcs.AIarXiv:2609.00495v12026
A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions
Agada Joseph Oche, Ademola Glory Folashade, Tirthankar Ghosal +1
cs.CLcs.LGarXiv:2507.18910v12025
Concise Reasoning via Reinforcement Learning
Mehdi Fatemi, Banafsheh Rafiee, Mingjie Tang +1
cs.CLarXiv:2504.05185v32025
Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict
Yihang Chen, Pin Qian, Su Wang +4
cs.CLcs.AIarXiv:2605.14473v42026
Are Language Models Models?
Philip Resnik
cs.CLcs.AIarXiv:2601.10421v12026
The Impact of Reasoning Step Length on Large Language Models
Mingyu Jin, Qinkai Yu, Dong Shu +5
cs.CLcs.AIarXiv:2401.04925v42024
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang, Tao Feng, Lilong Xue +3
cs.CLcs.AIcs.LGarXiv:2501.13787v12025
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
Zemin Huang, Zhiyang Chen, Zijun Wang +2
cs.CLarXiv:2505.10446v32025
TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
Yutao Xie, Nathaniel Thomas, Nicklas Hansen +3
cs.CLcs.AIcs.LGarXiv:2603.22293v12026
1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training
Han Zhao, Haotian Wang, Yiping Peng +5
cs.CLarXiv:2503.19633v12025
Thinking with Generated Images
Ethan Chern, Zhulin Hu, Steffi Chern +5
cs.CVcs.AIcs.CLarXiv:2505.22525v12025
Optimizing Large Language Model Training Using FP4 Quantization
Ruizhe Wang, Yeyun Gong, Xiao Liu +5
cs.LGcs.CLarXiv:2501.17116v22025
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025
Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
Jiantong Jiang, Peiyu Yang, Rui Zhang +1
cs.LGcs.AIcs.CLarXiv:2607.08057v12026
Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels
Guneet Kohli
cs.CLarXiv:2605.29800v12026
Removing RLHF Protections in GPT-4 via Fine-Tuning
Qiusi Zhan, Richard Fang, Rohan Bindu +3
cs.CLcs.AIarXiv:2311.05553v32023
OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization
Yishan Yao, Binjun Li, Hanling Yi +5
cs.CLcs.AIcs.LGarXiv:2609.00066v12026
Doc-to-LoRA: Learning to Instantly Internalize Contexts
Rujikorn Charakorn, Edoardo Cetin, Shinnosuke Uesaka +1
cs.CLcs.AIarXiv:2602.15902v12026
HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats
Rebecca Soskin Hicks, Mikhail Trofimov, Dominick Lim +13
cs.CLarXiv:2604.27470v12026
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.CVcs.AIcs.CLarXiv:2503.04812v22025
Getting pwn'd by AI: Penetration Testing with Large Language Models
Andreas Happe, Jürgen Cito
cs.CLcs.AIcs.CRarXiv:2308.00121v32023
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Zhongwei Wan, Zhihao Dou, Che Liu +11
cs.CLarXiv:2506.01713v32025
ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions
Bufang Yang, Lilin Xu, Liekang Zeng +7
cs.AIcs.CLcs.HCarXiv:2505.14668v22025
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Pengyi Li, Matvey Skripkin, Alexander Zubrey +2
cs.CLcs.LGarXiv:2506.06395v32025
Mining User Opinions in Mobile App Reviews: A Keyword-based Approach
Phong Minh Vu, Tam The Nguyen, Hung Viet Pham +1
cs.IRcs.CLarXiv:1505.04657v22015
SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving
Chaofan Tao, Jierun Chen, Yuxin Jiang +11
cs.SEcs.CLarXiv:2601.01426v22026
PyVision: Agentic Vision with Dynamic Tooling
Shitian Zhao, Haoquan Zhang, Shaoheng Lin +4
cs.CLcs.AIcs.CVarXiv:2507.07998v32025
UserBench: An Interactive Gym Environment for User-Centric Agents
Cheng Qian, Zuxin Liu, Akshara Prabhakar +9
cs.AIcs.CLcs.LGarXiv:2507.22034v12025
Are Reasoning Models More Prone to Hallucination?
Zijun Yao, Yantao Liu, Yanxu Chen +5
cs.CLcs.LGarXiv:2505.23646v12025
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou, Bo Li, Haohan Wang
cs.LGcs.AIcs.CLarXiv:2401.17263v52024
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding
Xiao Wang, Qingyi Si, Jianlong Wu +3
cs.CVcs.CLcs.MMarXiv:2503.12559v22025
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung, James Glass
eess.AScs.CLcs.LGarXiv:1910.12607v22019
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Chengshuai Zhao, Zhen Tan, Pingchuan Ma +5
cs.AIcs.CLcs.LGarXiv:2508.01191v62025
Generative Judge for Evaluating Alignment
Junlong Li, Shichao Sun, Weizhe Yuan +3
cs.CLcs.AIarXiv:2310.05470v22023

Computation and Language

RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

LSHTC: A Benchmark for Large-Scale Text Classification

Fine-grained Hallucination Detection and Editing for Language Models

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

RAIN: Your Language Models Can Align Themselves without Finetuning

A User Simulator for Task-Completion Dialogues

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

DeepStory: Video Story QA by Deep Embedded Memory Networks

Contextual Agent Security: A Policy for Every Purpose

VideoRAG: Retrieval-Augmented Generation over Video Corpus

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models

A Survey on Large Language Models for Mathematical Reasoning

Language Models Use Trigonometry to Do Addition

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

Neural Language Modeling by Jointly Learning Syntax and Lexicon

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Glancing Transformer for Non-Autoregressive Neural Machine Translation

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO

Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Toppling the Hierarchy in Byte-level Language Modeling

From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education

Beyond Token Positions: Safety Alignment Across Denoising Steps in Diffusion Language Models

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions

Concise Reasoning via Reinforcement Learning

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict

Are Language Models Models?

The Impact of Reasoning Step Length on Large Language Models

Parameter-Efficient Fine-Tuning for Foundation Models

Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs

1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training

Thinking with Generated Images

Optimizing Large Language Model Training Using FP4 Quantization

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization

Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels

Removing RLHF Protections in GPT-4 via Fine-Tuning

OCGQuant: Outlier-Companion Grouping for NVFP4 Quantization

Doc-to-LoRA: Learning to Instantly Internalize Contexts

HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

Getting pwn'd by AI: Penetration Testing with Large Language Models

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning

ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Mining User Opinions in Mobile App Reviews: A Keyword-based Approach

SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving

PyVision: Agentic Vision with Dynamic Tooling

UserBench: An Interactive Gym Environment for User-Centric Agents

Are Reasoning Models More Prone to Hallucination?

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens

Generative Judge for Evaluating Alignment