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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15,361 to 15,420 of 18,973

On-Policy Context Distillation for Language Models
Tianzhu Ye, Li Dong, Xun Wu +2
cs.CLarXiv:2602.12275v22026
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia +2
cs.SIcs.CLarXiv:2104.12259v12021
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng, Kiran Prasad, Roland Fernandez +3
cs.CLcs.AIcs.LGarXiv:2311.01460v12023
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs
Yunhao Chen, Xin Wang, Juncheng Li +5
cs.CLcs.CRarXiv:2511.12710v22025
FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory
Lei Wei, Xiao Peng, Xu Dong +2
cs.AIcs.CLarXiv:2601.18642v22026
Can Large Language Model Agents Simulate Human Trust Behavior?
Chengxing Xie, Canyu Chen, Feiran Jia +11
cs.AIcs.CLcs.HCarXiv:2402.04559v42024
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
Zeping Yu, Yonatan Belinkov, Sophia Ananiadou
cs.CLarXiv:2502.10835v12025
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy +1
cs.CLarXiv:1506.01066v22015
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
Yang Zhang, Amr Mohamed, Hadi Abdine +2
cs.CLcs.AIarXiv:2506.11300v22025
Dual Learning for Machine Translation
Yingce Xia, Di He, Tao Qin +4
cs.CLarXiv:1611.00179v12016
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1
cs.CLcs.AIcs.NEarXiv:1809.02393v22018
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Shuang Wu, Xiaoning Song, Zhenhua Feng
cs.CLcs.AIarXiv:2107.05418v12021
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
Heecheol Yun, Kwangmin Ki, Junghyun Lee +1
cs.CLcs.AIarXiv:2510.15346v22025
Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images
A. Said Gurbuz, Ahmed Nassar, Christoph Auer +8
cs.CVcs.CLarXiv:2608.20868v12026
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Luca Soldaini, Rodney Kinney, Akshita Bhagia +33
cs.CLarXiv:2402.00159v22024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
Kaituo Feng, Changsheng Li, Xiaolu Zhang +3
cs.CLarXiv:2405.16064v12024
Parameter-Efficient Retrievers for Polish and European Languages
Sławomir Dadas, Rafał Poświata, Małgorzata Grębowiec +1
cs.CLarXiv:2609.12913v22026
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg +5
eess.AScs.CLcs.LGarXiv:1904.03288v32019
In-Place Test-Time Training
Guhao Feng, Shengjie Luo, Kai Hua +4
cs.LGcs.AIcs.CLarXiv:2604.06169v12026
LipNet: End-to-End Sentence-level Lipreading
Yannis M. Assael, Brendan Shillingford, Shimon Whiteson +1
cs.LGcs.CLcs.CVarXiv:1611.01599v22016
A Survey of On-Policy Distillation for Large Language Models
Mingyang Song, Mao Zheng
cs.LGcs.CLarXiv:2604.00626v42026
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
Qianhao Yuan, Jie Lou, Xing Yu +4
cs.CVcs.AIcs.CLarXiv:2605.18740v42026
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang, Kaijie Chen, Guancheng Wan +5
cs.LGcs.CLcs.MAarXiv:2502.07373v12025
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Wenhu Chen, Hexiang Hu, Xi Chen +2
cs.CLcs.AIcs.CVarXiv:2210.02928v22022
AI agents reshape consensus formation in human groups
Lin Chen, Ziyi Liu, Xia Hu +1
cs.CLcs.CYcs.SIarXiv:2609.02122v12026
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models
Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef +4
cs.CLcs.AIcs.CVarXiv:2207.12576v22022
On Prompt-Driven Safeguarding for Large Language Models
Chujie Zheng, Fan Yin, Hao Zhou +5
cs.LGcs.AIcs.CLarXiv:2401.18018v42024
A Survey on Large Language Models for Mathematical Reasoning
Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang +8
cs.AIcs.CLarXiv:2506.08446v12025
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak
cs.CLcs.LGcs.NEarXiv:1610.09975v12016
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
Jongwoo Ko, Tianyi Chen, Sungnyun Kim +4
cs.CLcs.AIcs.LGarXiv:2503.07067v22025
Self-Evolving Critique Abilities in Large Language Models
Zhengyang Tang, Ziniu Li, Zhenyang Xiao +8
cs.CLcs.AIcs.LGarXiv:2501.05727v22025
OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis
Kanzhi Cheng, Zehao Li, Zheng Ma +11
cs.AIcs.CLcs.CVarXiv:2604.15093v12026
The Microsoft 2017 Conversational Speech Recognition System
W. Xiong, L. Wu, F. Alleva +3
cs.CLarXiv:1708.06073v22017
Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion
Haoyi Qiu, Yilun Zhou, Pranav Narayanan Venkit +4
cs.CLarXiv:2510.22768v22025
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar +2
cs.LGcs.AIcs.CLarXiv:2211.13972v12022
Zero-Shot Transfer Learning for Event Extraction
Lifu Huang, Heng Ji, Kyunghyun Cho +1
cs.CLarXiv:1707.01066v12017
Receptiveness, Not Sycophancy: Distinguishing Engagement from Deference in Language Models
Calvin Isley, Johann Gaebler, Max Lamparth +2
cs.CLcs.AIcs.HCarXiv:2609.26579v12026
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis
Caoyun Fan, Jindou Chen, Yaohui Jin +1
cs.AIcs.CLcs.GTarXiv:2312.05488v22023
Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation
Thibaut Thonet, Jos Rozen, Laurent Besacier
cs.CLarXiv:2609.01246v12026
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong, Thien Hoang, William Yang Wang
cs.CLcs.AIarXiv:1707.06690v32017
The Hidden Frame: How Large Language Models Impact Democratic Society
Wend K. Tam
cs.CLarXiv:2609.07735v22026
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Arwen Bradley, Etai Littwin +5
cs.LGcs.AIcs.CLarXiv:2310.16028v12023
The Impact of Depth on Compositional Generalization in Transformer Language Models
Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta +3
cs.CLarXiv:2310.19956v22023
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
Minrui Xu, Zilin Wang, Mengyi DENG +12
cs.CLcs.LGarXiv:2605.18703v12026
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
Zewen Chi, Shaohan Huang, Li Dong +8
cs.CLarXiv:2106.16138v22021
MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification
Hasan Iqbal, Sarfraz Ahmad, Hyunjae Kim +5
cs.CLarXiv:2609.12884v12026
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian +5
cs.CLcs.AIcs.CVarXiv:2305.13172v32023
Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning
Zhen Bi, Xueshu Chen, Yan Wang +6
cs.AIcs.CLcs.LGarXiv:2608.23982v12026
Do Large Language Models Hallucinate Electric Fata Morganas?
Kristina Šekrst
cs.CLcs.AIarXiv:2608.18816v12026
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering
Hwan Chang, Yumin Kim, Yonghyun Jun +1
cs.CLarXiv:2505.15805v22025
Memory-based Language Models: An Efficient, Explainable, and Eco-friendly Approach to Large Language Modeling
Antal van den Bosch, Ainhoa Risco Patón, Teun Buijse +2
cs.CLarXiv:2510.22317v12025
The Geometry of Inference in Transformer Residual Streams
Timur Mudarisov, Mikhail Burtsev, Radu State
cs.CLcs.LGarXiv:2609.37824v12026
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng, Ge Zhang, Tianhao Shen +5
cs.SEcs.AIcs.CLarXiv:2402.14658v32024
Decomposing Wrong-Consensus Agreement in LLM Self-Consistency: A GPT-4.1 Case Study
Lizhuo Zhang, Mengmeng Tang, Chenfeng Long +2
cs.CLcs.AIarXiv:2608.18795v12026
Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu +7
cs.CLarXiv:2412.17963v22024
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng, Yihan Geng, Jian Guan +3
cs.LGcs.AIcs.CLarXiv:2502.09622v22025
You Don't Need Prompt Engineering Anymore: The Prompting Inversion
Imran Khan
cs.CLcs.AIcs.LGarXiv:2510.22251v12025
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong +1
cs.CLcs.AIcs.LGarXiv:1708.00107v22017
A Question Answering Approach to Emotion Cause Extraction
Lin Gui, Jiannan Hu, Yulan He +3
cs.CLarXiv:1708.05482v22017

Computation and Language

On-Policy Context Distillation for Language Models

Honeybee: Locality-enhanced Projector for Multimodal LLM

User Preference-aware Fake News Detection

Implicit Chain of Thought Reasoning via Knowledge Distillation

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs

FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory

Can Large Language Model Agents Simulate Human Trust Behavior?

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Visualizing and Understanding Neural Models in NLP

Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning

Dual Learning for Machine Translation

Improving Neural Question Generation using Answer Separation

MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling

Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs

Parameter-Efficient Retrievers for Polish and European Languages

Jasper: An End-to-End Convolutional Neural Acoustic Model

In-Place Test-Time Training

LipNet: End-to-End Sentence-level Lipreading

A Survey of On-Policy Distillation for Large Language Models

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation

EvoFlow: Evolving Diverse Agentic Workflows On The Fly

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

AI agents reshape consensus formation in human groups

WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models

On Prompt-Driven Safeguarding for Large Language Models

A Survey on Large Language Models for Mathematical Reasoning

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Self-Evolving Critique Abilities in Large Language Models

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

The Microsoft 2017 Conversational Speech Recognition System

Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Zero-Shot Transfer Learning for Event Extraction

Receptiveness, Not Sycophancy: Distinguishing Engagement from Deference in Language Models

Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis

Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

The Hidden Frame: How Large Language Models Impact Democratic Society

What Algorithms can Transformers Learn? A Study in Length Generalization

The Impact of Depth on Compositional Generalization in Transformer Language Models

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

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification

Editing Large Language Models: Problems, Methods, and Opportunities

Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning

Do Large Language Models Hallucinate Electric Fata Morganas?

Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering

Memory-based Language Models: An Efficient, Explainable, and Eco-friendly Approach to Large Language Modeling

The Geometry of Inference in Transformer Residual Streams

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Decomposing Wrong-Consensus Agreement in LLM Self-Consistency: A GPT-4.1 Case Study

Extracting and Following Paths for Robust Relational Reasoning with Large Language Models

Theoretical Benefit and Limitation of Diffusion Language Model

You Don't Need Prompt Engineering Anymore: The Prompting Inversion

Learned in Translation: Contextualized Word Vectors

A Question Answering Approach to Emotion Cause Extraction