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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1 to 60 of 11,225

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
Zihan Guan, Mengxuan Hu, Ronghang Zhu +2
cs.LGcs.CLarXiv:2505.06843v22025
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices
Ruslan Svirschevski, Avner May, Zhuoming Chen +3
cs.CLarXiv:2406.02532v32024
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Hanshi Sun, Zhuoming Chen, Xinyu Yang +2
cs.CLcs.LGarXiv:2404.11912v32024
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure
Jikai Wang, Yi Su, Juntao Li +5
cs.CLarXiv:2406.17276v42024
Cascade Speculative Drafting for Even Faster LLM Inference
Ziyi Chen, Xiaocong Yang, Jiacheng Lin +3
cs.LGcs.CLarXiv:2312.11462v52023
Fine-tune Bert for DocRED with Two-step Process
Hong Wang, Christfried Focke, Rob Sylvester +2
cs.CLarXiv:1909.11898v12019
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Thanh Tran, Yifan Hu, Changwei Hu +4
cs.CLcs.AIcs.IRarXiv:2010.08865v12020
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Yongding Tao, Tian Wang, Yihong Dong +4
cs.CLcs.AIcs.LGarXiv:2510.09259v22025
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Yiming Wang, Da Yin, Yuedong Cui +8
cs.CLcs.AIcs.LGarXiv:2510.14969v12025
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios
Jiaxuan Li, Lang Yu, Allyson Ettinger
cs.CLarXiv:2305.16572v12023
Agentic Knowledgeable Self-awareness
Shuofei Qiao, Zhisong Qiu, Baochang Ren +8
cs.CLcs.AIcs.CVarXiv:2504.03553v22025
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation
Jason Li, Ravi Gadde, Boris Ginsburg +1
cs.CLcs.LGcs.SDarXiv:1811.00707v12018
End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
cs.NEcs.CLarXiv:1503.08895v52015
Finding Generalizable Evidence by Learning to Convince Q&A Models
Ethan Perez, Siddharth Karamcheti, Rob Fergus +3
cs.CLcs.AIcs.IRarXiv:1909.05863v12019
Exploring Content Selection in Summarization of Novel Chapters
Faisal Ladhak, Bryan Li, Yaser Al-Onaizan +1
cs.CLarXiv:2005.01840v32020
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
Zihao Wei, Liang Pang, Jiahao Liu +7
cs.CLcs.AIarXiv:2508.17627v22025
Diving Deep into Modes of Fact Hallucinations in Dialogue Systems
Souvik Das, Sougata Saha, Rohini K. Srihari
cs.CLcs.AIarXiv:2301.04449v12023
Intern-S1: A Scientific Multimodal Foundation Model
Lei Bai, Zhongrui Cai, Yuhang Cao +174
cs.LGcs.CLcs.CVarXiv:2508.15763v22025
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan +8
cs.LGcs.CLstat.MLarXiv:2006.03555v32020
Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
Davide Caffagni, Sara Sarto, Marcella Cornia +5
cs.CVcs.AIcs.CLarXiv:2512.15885v12025
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
Zihao Yue, Liang Zhang, Qin Jin
cs.CLcs.CVarXiv:2402.14545v22024
Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
Vincent Huang, Dami Choi, Daniel D. Johnson +2
cs.AIcs.CLcs.LGarXiv:2512.15712v12025
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
Adam Karvonen, James Chua, Clément Dumas +8
cs.CLcs.AIcs.LGarXiv:2512.15674v22025
Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
Haiyan Zhao, Zirui He, Guanchu Wang +3
cs.CLcs.LGarXiv:2605.25903v22026
WenetSpeech-Chuan: A Large-Scale Sichuanese Corpus with Rich Annotation for Dialectal Speech Processing
Yuhang Dai, Ziyu Zhang, Shuai Wang +13
cs.CLcs.SDarXiv:2509.18004v12025
Fun-ASR Technical Report
Keyu An, Yanni Chen, Zhigao Chen +35
cs.CLcs.AIcs.SDarXiv:2509.12508v42025
SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents
Wenxuan Wang, Haoyu Sun, Fukuan Hou +4
cs.AIcs.CLarXiv:2606.05761v22026
The Amazing Agent Race: Strong Tool Users, Weak Navigators
Zae Myung Kim, Dongseok Lee, Jaehyung Kim +2
cs.AIcs.CLcs.LGarXiv:2604.10261v22026
Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents
Nicholas Edwards, Sebastian Schuster
cs.CLarXiv:2603.26233v22026
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Łukasz Borchmann, Jordy Van Landeghem, Michał Turski +12
cs.CLcs.AIarXiv:2603.12180v22026
Generative AI Act II: Test Time Scaling Drives Cognition Engineering
Shijie Xia, Yiwei Qin, Xuefeng Li +11
cs.CLcs.AIarXiv:2504.13828v32025
MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
Yucheng Shi, Wenhao Yu, Zaitang Li +5
cs.LGcs.CLarXiv:2507.05720v12025
Contrastive Instruction Tuning
Tianyi Lorena Yan, Fei Wang, James Y. Huang +5
cs.CLcs.AIcs.LGarXiv:2402.11138v22024
A Fast Post-Training Pruning Framework for Transformers
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney +3
cs.CLcs.LGarXiv:2204.09656v22022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Xiang Chen, Ningyu Zhang, Lei Li +6
cs.CLcs.AIcs.CVarXiv:2205.02357v52022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
Xi Ye, Greg Durrett
cs.CLarXiv:2205.03401v22022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung, Lianhui Qin, Sean Welleck +4
cs.CLarXiv:2205.11822v22022
Adding Interpretable Attention to Neural Translation Models Improves Word Alignment
Thomas Zenkel, Joern Wuebker, John DeNero
cs.CLarXiv:1901.11359v12019
Comprehending and Ordering Semantics for Image Captioning
Yehao Li, Yingwei Pan, Ting Yao +1
cs.CVcs.AIcs.CLarXiv:2206.06930v12022
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt +1
cs.CLcs.AIcs.LGarXiv:2207.08143v42022
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
Yirong Zeng, Xiao Ding, Yuxian Wang +8
cs.CLcs.AIcs.LGarXiv:2501.09766v52025
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov, He He
cs.CLarXiv:2210.01240v42022
Language Models as Agent Models
Jacob Andreas
cs.CLcs.MAarXiv:2212.01681v12022
Summaries:한국어
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu, Weili Nie, Chengpeng Wang +6
cs.LGcs.CLq-bio.QMarXiv:2212.10789v32022
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
Song Lai, Haohan Zhao, Rong Feng +9
cs.LGcs.AIcs.CLarXiv:2507.05386v62025
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Yang Chen, Hexiang Hu, Yi Luan +4
cs.CVcs.AIcs.CLarXiv:2302.11713v52023
Learning by Distilling Context
Charlie Snell, Dan Klein, Ruiqi Zhong
cs.CLcs.AIarXiv:2209.15189v12022
GPT-4 Technical Report
OpenAI, Josh Achiam, Steven Adler +278
cs.CLcs.AIarXiv:2303.08774v62023
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Renrui Zhang, Jiaming Han, Chris Liu +7
cs.CVcs.AIcs.CLarXiv:2303.16199v32023
Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
Alejandro Lopez-Lira, Yuehua Tang
q-fin.STcs.CLarXiv:2304.07619v62023
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Peng Gao, Jiaming Han, Renrui Zhang +9
cs.CVcs.AIcs.CLarXiv:2304.15010v12023
Enabling Large Language Models to Generate Text with Citations
Tianyu Gao, Howard Yen, Jiatong Yu +1
cs.CLcs.IRcs.LGarXiv:2305.14627v22023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang, Tiancheng Zhao, Yulong Guo +1
cs.CVcs.AIcs.CLarXiv:2306.11300v52023
Matching Patients to Clinical Trials with Large Language Models
Qiao Jin, Zifeng Wang, Charalampos S. Floudas +7
cs.CLcs.AIarXiv:2307.15051v52023
Studying Large Language Model Generalization with Influence Functions
Roger Grosse, Juhan Bae, Cem Anil +14
cs.LGcs.CLstat.MLarXiv:2308.03296v12023
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia +2
cs.CLcs.AIcs.CRarXiv:2310.06987v12023
Linear Representations of Sentiment in Large Language Models
Curt Tigges, Oskar John Hollinsworth, Atticus Geiger +1
cs.LGcs.AIcs.CLarXiv:2310.15154v12023
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Matthew Dahl, Varun Magesh, Mirac Suzgun +1
cs.CLcs.AIcs.CYarXiv:2401.01301v22024
One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders
Minghao Luo, Liang Chen
cs.CLcs.AIarXiv:2606.13610v22026
SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
Zhuoyun Yu, Xin Xie, Wuguannan Yao +4
cs.CLcs.AIcs.LGarXiv:2606.01311v12026

Computation and Language

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety

SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure

Cascade Speculative Drafting for Even Faster LLM Inference

Fine-tune Bert for DocRED with Two-step Process

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training

Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios

Agentic Knowledgeable Self-awareness

Training Neural Speech Recognition Systems with Synthetic Speech Augmentation

End-To-End Memory Networks

Finding Generalizable Evidence by Learning to Convince Q&A Models

Exploring Content Selection in Summarization of Novel Chapters

The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis

Diving Deep into Modes of Fact Hallucinations in Dialogue Systems

Intern-S1: A Scientific Multimodal Foundation Model

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models

Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective

Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants

Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers

Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation

WenetSpeech-Chuan: A Large-Scale Sichuanese Corpus with Rich Annotation for Dialectal Speech Processing

Fun-ASR Technical Report

SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents

The Amazing Agent Race: Strong Tool Users, Weak Navigators

Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents

Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections

Generative AI Act II: Test Time Scaling Drives Cognition Engineering

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Contrastive Instruction Tuning

A Fast Post-Training Pruning Framework for Transformers

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Adding Interpretable Attention to Neural Translation Models Improves Word Alignment

Comprehending and Ordering Semantics for Image Captioning

Can large language models reason about medical questions?

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use

Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Language Models as Agent Models

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Learning by Distilling Context

GPT-4 Technical Report

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Enabling Large Language Models to Generate Text with Citations

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Matching Patients to Clinical Trials with Large Language Models

Studying Large Language Model Generalization with Influence Functions

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Linear Representations of Sentiment in Large Language Models

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories