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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11,761 to 11,820 of 19,450

Neural Extractive Text Summarization with Syntactic Compression
Jiacheng Xu, Greg Durrett
cs.CLarXiv:1902.00863v22019
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
Davide Caffagni, Federico Cocchi, Nicholas Moratelli +4
cs.CVcs.AIcs.CLarXiv:2404.15406v22024
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Arnav Singhvi, Manish Shetty, Shangyin Tan +4
cs.CLcs.AIcs.PLarXiv:2312.13382v22023
ModularSQL: A Runtime Guardrail for the Multiplicity Blind Spot in Text-to-SQL
Tianxin Zhou, Ruixi Lin
cs.CLarXiv:2609.29573v12026
The Second Conversational Intelligence Challenge (ConvAI2)
Emily Dinan, Varvara Logacheva, Valentin Malykh +14
cs.AIcs.CLcs.HCarXiv:1902.00098v12019
The price of debiasing automatic metrics in natural language evaluation
Arun Tejasvi Chaganty, Stephen Mussman, Percy Liang
cs.CLarXiv:1807.02202v12018
Unified Pragmatic Models for Generating and Following Instructions
Daniel Fried, Jacob Andreas, Dan Klein
cs.CLarXiv:1711.04987v32017
Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents
Mantas Lukauskas, Viktorija Šarkauskaitė
cs.CYcs.AIcs.CLarXiv:2608.14606v12026
Language Models are Open Knowledge Graphs
Chenguang Wang, Xiao Liu, Dawn Song
cs.CLcs.AIcs.LGarXiv:2010.11967v12020
End-to-end Neural Coreference Resolution
Kenton Lee, Luheng He, Mike Lewis +1
cs.CLarXiv:1707.07045v22017
Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting
Xinwei Qiang, Xiang Fang, Chang Chen +2
cs.LGcs.CLcs.ITarXiv:2608.27339v12026
Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents
Vidya Srinivas, Zachary Englhardt, Vikram Iyer +1
cs.CLarXiv:2511.07397v32025
Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias
Justin D. Norman, Michael U. Rivera, D. Alex Hughes
cs.CLarXiv:2606.19544v12026
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Huao Li, Yu Quan Chong, Simon Stepputtis +4
cs.CLcs.AIarXiv:2310.10701v32023
EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
Chuanrui Hu, Xingze Gao, Zuyi Zhou +8
cs.AIcs.CLarXiv:2601.02163v22026
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
Leheng Sheng, Yongtao Zhang, Wenchang Ma +6
cs.CLcs.AIarXiv:2602.10560v12026
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Yubin Kim, Chanwoo Park, Hyewon Jeong +7
cs.CLcs.AIcs.LGarXiv:2404.15155v32024
Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation
Shashank
cs.ARcs.CLcs.LGarXiv:2608.23582v12026
Copying explains the collective behavior of AI agents in the wild
Giordano De Marzo, Nicola Alboré, David Garcia
cs.MAcond-mat.stat-mechcs.CLarXiv:2609.09150v22026
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Yangning Li, Weizhi Zhang, Yuyao Yang +17
cs.CLcs.AIarXiv:2507.09477v22025
Detecting Harmful Memes and Their Targets
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee +4
cs.CLcs.LGcs.MMarXiv:2110.00413v12021
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng +6
cs.CLcs.LGarXiv:2007.15779v62020
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Daocheng Fu, Xin Li, Licheng Wen +4
cs.ROcs.CLarXiv:2307.07162v12023
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
Diji Yang, Linda Zeng, Jinmeng Rao +1
cs.AIcs.CLcs.IRarXiv:2505.02811v22025
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
Zhongzhi Li, Xuansheng Wu, Yijiang Li +2
cs.CLcs.AIarXiv:2602.10388v42026
MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation
Bo Li, Ningyuan Deng, Tianyu Dong +3
cs.CLarXiv:2604.16943v12026
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Young-Jun Lee, Seungone Kim, Minki Kang +5
cs.CLcs.LGarXiv:2606.29082v12026
Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs
Kasumi Ban
cs.HCcs.CLcs.CYarXiv:2608.16467v12026
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Clément Christophe, Praveen K Kanithi, Prateek Munjal +13
cs.CLarXiv:2404.14779v12024
A Dataset for Answering Time-Sensitive Questions
Wenhu Chen, Xinyi Wang, William Yang Wang
cs.CLcs.AIarXiv:2108.06314v52021
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
Deyao Zhu, Xin Zhou, Shengling Qin +44
cs.CLcs.LGarXiv:2607.05155v12026
Better speech synthesis through scaling
James Betker
cs.SDcs.CLeess.ASarXiv:2305.07243v22023
word2vec Parameter Learning Explained
Xin Rong
cs.CLarXiv:1411.2738v42014
SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
Binbin Zheng, Xing Ma, Yiheng Liang +6
cs.LGcs.AIcs.CLarXiv:2604.10688v22026
Reevaluating Adversarial Examples in Natural Language
John X. Morris, Eli Lifland, Jack Lanchantin +2
cs.CLcs.AIcs.CRarXiv:2004.14174v32020
ChatGPT: The End of Online Exam Integrity?
Teo Susnjak
cs.AIcs.CLarXiv:2212.09292v12022
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
Langlin Huang, Chengsong Huang, Jinyuan Li +3
cs.AIcs.CLcs.LGarXiv:2605.05566v12026
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
DeepSeek-AI, Anyi Xu, Bangcai Lin +316
cs.CLcs.AIarXiv:2606.19348v12026
Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
Sonia Raychaudhuri, Saim Wani, Shivansh Patel +2
cs.CVcs.CLcs.ROarXiv:2109.15207v12021
Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents
Zonghan Yang, Shengjie Wang, Kelin Fu +18
cs.AIcs.CLcs.SEarXiv:2509.23045v32025
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Yu Zeng, Wenxuan Huang, Zhen Fang +14
cs.CVcs.AIcs.CLarXiv:2602.02185v22026
Transfiver: Human-AI Co-Inference through a Shared Editable State
Minji Park, Seunghyun Yoon, Hyuk Lim
cs.AIcs.CLcs.HCarXiv:2609.03797v12026
InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis
Oliver Bentham, Vivek Srikumar
cs.CLcs.AIarXiv:2604.13201v22026
Linear Probing Provides Robust and Efficient Detection of Machine-Generated Text
Gerrit Quaremba, Hanqi Yan, Elizabeth Black +2
cs.CLarXiv:2608.24780v12026
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Yiyang Zhou, Chenhang Cui, Rafael Rafailov +2
cs.LGcs.CLcs.CVarXiv:2402.11411v12024
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina J. Semnani, Jirayu Burapacheep, Arpandeep Khatua +3
cs.CLarXiv:2509.23233v12025
The Homogenizing Effect of Large Language Models on Human Expression and Thought
Zhivar Sourati, Alireza S. Ziabari, Morteza Dehghani
cs.CLarXiv:2508.01491v22025
InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
Jiaze Li, Aocheng Shen, Bing Liu +4
cs.SEcs.AIcs.CLarXiv:2608.29632v12026
ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
Jie Ruan, Inderjeet Nair, Shuyang Cao +14
cs.CLarXiv:2506.01241v32025
A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models
Tina Raissi, Nhan Phan, Mikko Kurimo
cs.CLarXiv:2609.28060v12026
Two locked tests of phase-structure features for transition prediction
Abraham Chachamovits
cs.CLarXiv:2609.00335v12026
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang, Quanming Yao
cs.AIcs.CLarXiv:2108.06040v22021
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
Yan Hu, Qingyu Chen, Jingcheng Du +9
cs.CLarXiv:2303.16416v32023
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman +4
cs.CVcs.CLcs.LGarXiv:2205.01397v22022
Are LLM-based Evaluators Confusing NLG Quality Criteria?
Xinyu Hu, Mingqi Gao, Sen Hu +4
cs.CLarXiv:2402.12055v22024
DoPE: Denoising Rotary Position Embedding
Jing Xiong, Liyang Fan, Hui Shen +4
cs.CLarXiv:2511.09146v22025
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Shayne Longpre, Yi Lu, Joachim Daiber
cs.CLarXiv:2007.15207v22020
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
Jiefeng Chen, Jie Ren, Xinyun Chen +4
cs.AIcs.CLarXiv:2501.19306v52025
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Yixuan Su, Lei Shu, Elman Mansimov +4
cs.CLarXiv:2109.14739v22021

Computation and Language

Neural Extractive Text Summarization with Syntactic Compression

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

ModularSQL: A Runtime Guardrail for the Multiplicity Blind Spot in Text-to-SQL

The Second Conversational Intelligence Challenge (ConvAI2)

The price of debiasing automatic metrics in natural language evaluation

Unified Pragmatic Models for Generating and Following Instructions

Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents

Language Models are Open Knowledge Graphs

End-to-end Neural Coreference Resolution

Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting

Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents

Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias

Theory of Mind for Multi-Agent Collaboration via Large Language Models

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning

When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation

Copying explains the collective behavior of AI agents in the wild

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Detecting Harmful Memes and Their Targets

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders

MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks

Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs

Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

A Dataset for Answering Time-Sensitive Questions

EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments

Better speech synthesis through scaling

word2vec Parameter Learning Explained

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting

Reevaluating Adversarial Examples in Natural Language

ChatGPT: The End of Online Exam Integrity?

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

Transfiver: Human-AI Co-Inference through a Shared Editable State

InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis

Linear Probing Provides Robust and Efficient Detection of Machine-Generated Text

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models

The Homogenizing Effect of Large Language Models on Human Expression and Thought

InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information

ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists

A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models

Two locked tests of phase-structure features for transition prediction

Knowledge Graph Reasoning with Relational Digraph

Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering

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

Are LLM-based Evaluators Confusing NLG Quality Criteria?

DoPE: Denoising Rotary Position Embedding

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System