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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13,381 to 13,440 of 19,351

Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt +4
cs.CLcs.AIarXiv:2205.11374v12022
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps
Yanke Zhou, Yiduo Li, Hanlin Tang +6
cs.CLcs.AIarXiv:2605.16928v22026
REPOT: Recoverable Program-of-Thought via Checkpoint Repair
Parsa Mazaheri
cs.SEcs.AIcs.CLarXiv:2605.30052v12026
Do Large Language Models Know What They Don't Know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo +3
cs.CLarXiv:2305.18153v22023
MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
Lukas Thede, Yash Kumar Atri, David Chen +4
cs.CLcs.LGarXiv:2609.38543v12026
SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG
Amirhossein Abaskohi, Issam H. Laradji, Peter West +1
cs.CLcs.IRarXiv:2606.18381v12026
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Jey Han Lau, Timothy Baldwin
cs.CLarXiv:1607.05368v12016
SuTRA : Structurally-Unified Tokenization with Root Awareness
Vaibhav Rathore, Siddhant Gole, Dadhichi Telwadkar +4
cs.CLcs.AIarXiv:2608.18087v12026
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Thanh-Long V. Le, Myeongho Jeon, Kim Vu +2
cs.CLcs.AIcs.LGarXiv:2509.21880v32025
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
Zijian Zhang, Rizhen Hu, Athanasios Glentis +4
cs.LGcs.CLarXiv:2607.01232v22026
Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov +1
cs.CLcs.LGarXiv:1702.02206v22017
ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning
Ming Ma, Yi Zhu, Yiran Zhong +7
cs.LGcs.CLarXiv:2609.27532v22026
On Code-Induced Reasoning in LLMs
Abdul Waheed, Zhen Wu, Carolyn Rosé +1
cs.CLcs.PLarXiv:2509.21499v22025
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana, Jacob Portes, Sasha Doubov +1
cs.LGcs.CLarXiv:2401.00448v32023
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang, Zhewei Xu, Pedro Szekely +1
cs.CLcs.AIcs.LGarXiv:2205.03972v12022
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
Nandan Thakur, Luiz Bonifacio, Xinyu Zhang +8
cs.CLcs.IRarXiv:2312.11361v32023
Hierarchical multimodal transformers for Multi-Page DocVQA
Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny
cs.CVcs.AIcs.CLarXiv:2212.05935v22022
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions
Peng Li, Zihan Zhuang, Yangfan Gao +16
cs.ROcs.CLcs.CVarXiv:2601.12799v12026
Jailbreaking Attack against Multimodal Large Language Model
Zhenxing Niu, Haodong Ren, Xinbo Gao +2
cs.LGcs.CLcs.CRarXiv:2402.02309v12024
CEO-Bench: Can Agents Play the Long Game?
Haozhe Chen, Karthik Narasimhan, Zhuang Liu
cs.AIcs.CLcs.SEarXiv:2606.18543v22026
An Incremental Parser for Abstract Meaning Representation
Marco Damonte, Shay B. Cohen, Giorgio Satta
cs.CLarXiv:1608.06111v52016
GeoGR: Spatial-Semantic Token Compression and Group Routing for Efficient 3D VLMs
Yongxin Zheng, Hao Wu, Fang Li +8
cs.CVcs.AIcs.CLarXiv:2610.13035v12026
QEvict: Recoverable Quantized KV Eviction for Attention-Drift-Robust Long-Context Decoding
Ayushman Garg, Akshita Gupta, Shaswata Bhattacharya +3
cs.LGcs.CLarXiv:2608.05326v12026
Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers
Jared Moore, Declan Grabb, William Agnew +4
cs.CLarXiv:2504.18412v12025
Multichannel Variable-Size Convolution for Sentence Classification
Wenpeng Yin, Hinrich Schütze
cs.CLarXiv:1603.04513v12016
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
Guochao Jiang, Wenfeng Feng, Guofeng Quan +4
cs.LGcs.CLarXiv:2509.19803v12025
PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
Liangqi Yuan, Wenzhi Fang, Shiqiang Wang +1
cs.LGcs.CLcs.DCarXiv:2605.08646v12026
Taken out of context: On measuring situational awareness in LLMs
Lukas Berglund, Asa Cooper Stickland, Mikita Balesni +5
cs.CLcs.LGarXiv:2309.00667v12023
The pitfalls of next-token prediction
Gregor Bachmann, Vaishnavh Nagarajan
cs.CLcs.AIcs.LGarXiv:2403.06963v32024
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan +3
cs.LGcs.CLq-bio.BMarXiv:2106.09553v32021
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Sina J. Semnani, Han Zhang, Xinyan He +2
cs.CLcs.CVarXiv:2509.19768v12025
Toward a Graded Measure of Belief Stability in Large Language Models
Samantha Dies, Branden Fitelson, Tina Eliassi-Rad
cs.CLcs.AIarXiv:2609.34158v12026
Looped World Models
Hongyuan Adam Lu, Z. L. Victor Wei, Qun Zhang +28
cs.LGcs.AIcs.CLarXiv:2606.18208v12026
Architecture as Capability Equalizer for Coding Agents
Arquimedes Canedo
cs.SEcs.AIcs.CLarXiv:2608.21747v12026
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen +8
cs.CLarXiv:1905.06316v12019
Co-Harness: Co-Evolving Harnesses and Model Weights for LLM Agents
Zhengyu Chen, Teng Xiao, Huaisheng Zhu +3
cs.AIcs.CLarXiv:2607.22688v12026
Debating with More Persuasive LLMs Leads to More Truthful Answers
Akbir Khan, John Hughes, Dan Valentine +7
cs.AIcs.CLarXiv:2402.06782v42024
ToolFailBench: Diagnosing Tool-Use Failures in LLM Agents
Harsh Soni
cs.CLcs.AIcs.SEarXiv:2607.04686v12026
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
Litian Liu, Reza Pourreza, Yubing Jian +2
cs.AIcs.CLarXiv:2602.07253v42026
StableMoE: Stable Routing Strategy for Mixture of Experts
Damai Dai, Li Dong, Shuming Ma +4
cs.LGcs.CLarXiv:2204.08396v12022
WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning
Senyu Fei, Xiaopeng Yu, Siyin Wang +3
cs.ROcs.CLcs.CVarXiv:2607.29613v12026
TALK-Dem: Benchmarking Embodied Task Planning under Dementia-Associated Communication Patterns
Guangxin Zhao, Yiran Hu, Yuan Cao +7
cs.ROcs.CLarXiv:2609.38371v12026
Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis
Yan Ling, Jianfei Yu, Rui Xia
cs.CVcs.CLcs.MMarXiv:2204.07955v22022
Well-classified Examples are Underestimated in Classification with Deep Neural Networks
Guangxiang Zhao, Wenkai Yang, Xuancheng Ren +3
cs.LGcs.AIcs.CLarXiv:2110.06537v62021
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
Jiajie Zhang, Xin Lv, Ling Feng +2
cs.CLarXiv:2601.06021v12026
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
Julien Piet, Maha Alrashed, Chawin Sitawarin +5
cs.CRcs.AIcs.CLarXiv:2312.17673v22023
On the Off-Policy Teacher in On-Policy Distillation
Langlin Huang, Hao Liu, Mononito Goswami +5
cs.LGcs.AIcs.CLarXiv:2609.38360v12026
Rho-1: Not All Tokens Are What You Need
Zhenghao Lin, Zhibin Gou, Yeyun Gong +8
cs.CLcs.AIarXiv:2404.07965v42024
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman +4
cs.CLcs.AIarXiv:2202.12837v22022
Multi-agent discussion gains less when dissent is withheld
Chand Sahil Mansuri, Xin Wang, Mengying Li +4
physics.soc-phcs.CLcs.MAarXiv:2609.38324v12026
Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding Rounds
Yunxiao Zhao, Changxiao Cai
cs.LGcs.AIcs.CLarXiv:2610.10411v12026
Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu +3
cs.CLcs.LGarXiv:1706.06681v32017
Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models
Maverick Morales, Tomáš Dominik, Vermut Gao +4
cs.AIcs.CLarXiv:2610.10405v12026
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang +2
cs.CLcs.LGarXiv:1606.01549v32016
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Jerry Chee, Yaohui Cai, Volodymyr Kuleshov +1
cs.LGcs.CLarXiv:2307.13304v22023
Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
Sravanthi Machcha, Sushrita Yerra, Sahil Gupta +4
cs.CLcs.AIarXiv:2601.12471v22026
Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought Traces
Ratish Puduppully, Pranabendu Misra, Paarth Iyer +3
cs.CLcs.AIarXiv:2609.38107v12026
Hierarchical Question-Image Co-Attention for Visual Question Answering
Jiasen Lu, Jianwei Yang, Dhruv Batra +1
cs.CVcs.CLarXiv:1606.00061v52016
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
Xinyu Zhang, Xueguang Ma, Peng Shi +1
cs.CLcs.IRarXiv:2108.08787v22021
Classification of Natural Language Processing Techniques for Requirements Engineering
Liping Zhao, Waad Alhoshan, Alessio Ferrari +1
cs.CLcs.SEarXiv:2204.04282v12022

Computation and Language

Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements

Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps

REPOT: Recoverable Program-of-Thought via Checkpoint Repair

Do Large Language Models Know What They Don't Know?

MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models

SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

SuTRA : Structurally-Unified Tokenization with Root Awareness

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

Semi-Supervised QA with Generative Domain-Adaptive Nets

ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning

On Code-Induced Reasoning in LLMs

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

Hierarchical multimodal transformers for Multi-Page DocVQA

FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions

Jailbreaking Attack against Multimodal Large Language Model

CEO-Bench: Can Agents Play the Long Game?

An Incremental Parser for Abstract Meaning Representation

GeoGR: Spatial-Semantic Token Compression and Group Routing for Efficient 3D VLMs

QEvict: Recoverable Quantized KV Eviction for Attention-Drift-Robust Long-Context Decoding

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers

Multichannel Variable-Size Convolution for Sentence Classification

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models

PAAC: Privacy-Aware Agentic Device-Cloud Collaboration

Taken out of context: On measuring situational awareness in LLMs

The pitfalls of next-token prediction

Large-Scale Chemical Language Representations Capture Molecular Structure and Properties

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition

Toward a Graded Measure of Belief Stability in Large Language Models

Looped World Models

Architecture as Capability Equalizer for Coding Agents

What do you learn from context? Probing for sentence structure in contextualized word representations

Co-Harness: Co-Evolving Harnesses and Model Weights for LLM Agents

Debating with More Persuasive LLMs Leads to More Truthful Answers

ToolFailBench: Diagnosing Tool-Use Failures in LLM Agents

From Out-of-Distribution Detection to Hallucination Detection: A Geometric View

StableMoE: Stable Routing Strategy for Mixture of Experts

WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning

TALK-Dem: Benchmarking Embodied Task Planning under Dementia-Associated Communication Patterns

Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis

Well-classified Examples are Underestimated in Classification with Deep Neural Networks

Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards

Jatmo: Prompt Injection Defense by Task-Specific Finetuning

On the Off-Policy Teacher in On-Policy Distillation

Rho-1: Not All Tokens Are What You Need

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Multi-agent discussion gains less when dissent is withheld

Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding Rounds

Graph-based Neural Multi-Document Summarization

Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models

Gated-Attention Readers for Text Comprehension

QuIP: 2-Bit Quantization of Large Language Models With Guarantees

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty

Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought Traces

Hierarchical Question-Image Co-Attention for Visual Question Answering

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Classification of Natural Language Processing Techniques for Requirements Engineering