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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14,761 to 14,820 of 18,979

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bernd Bohnet, Vinh Q. Tran, Pat Verga +19
cs.CLarXiv:2212.08037v22022
DeepRepoQA: Code Repository Question Answering with Deep Agent Exploration
Weihan Peng, Yuling Shi, Yingwei Ma +3
cs.SEcs.CLcs.PLarXiv:2608.24221v12026
Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
Zhaowei Liu, Xin Guo, Zhi Yang +14
cs.CLarXiv:2503.16252v52025
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
Qixiu Li, Yaobo Liang, Zeyu Wang +15
cs.ROcs.AIcs.CLarXiv:2411.19650v12024
V-STaR: Training Verifiers for Self-Taught Reasoners
Arian Hosseini, Xingdi Yuan, Nikolay Malkin +3
cs.LGcs.AIcs.CLarXiv:2402.06457v22024
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres +27
cs.CYcs.CLcs.LGarXiv:2403.12025v22024
Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
Tianze Xu, Yanzhao Zheng, Pengrui Lu +11
cs.CLcs.AIarXiv:2604.02795v12026
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
Pan Lu, Ran Gong, Shibiao Jiang +4
cs.CLcs.AIcs.CVarXiv:2105.04165v32021
Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
Mengkang Hu, Bowei Xia, Yuran Wu +9
cs.AIcs.CLarXiv:2512.22336v12025
Hierarchical Question Answering for Long Documents
Eunsol Choi, Daniel Hewlett, Alexandre Lacoste +3
cs.CLarXiv:1611.01839v22016
Injecting Numerical Reasoning Skills into Language Models
Mor Geva, Ankit Gupta, Jonathan Berant
cs.CLarXiv:2004.04487v12020
hep-th
Yang-Hui He, Vishnu Jejjala, Brent D. Nelson
cs.CLhep-tharXiv:1807.00735v12018
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li, Aspen K. Hopkins, David Bau +3
cs.LGcs.AIcs.CLarXiv:2210.13382v52022
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
Yao Fu, Dong-Ki Kim, Jaekyeom Kim +4
cs.CLcs.LGarXiv:2403.08978v22024
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
Micael Carvalho, Rémi Cadène, David Picard +3
cs.CLcs.CVcs.IRarXiv:1804.11146v12018
Frontier Learning: Training LLM Reasoners at the Edge of Capability
Robin Faro, Shyam Sundhar Ramesh, Ilija Bogunovic +1
cs.LGcs.AIcs.CLarXiv:2609.35426v12026
Hierarchical Wasserstein Merging for Multi-Domain Multi-Task Learning: From Specialists to a Generalist
Ming Cheng, Jiaying Gong, Hoda Eldardiry
cs.CLarXiv:2609.06406v12026
Removing RLHF Protections in GPT-4 via Fine-Tuning
Qiusi Zhan, Richard Fang, Rohan Bindu +3
cs.CLcs.AIarXiv:2311.05553v32023
ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora
Xinfeng Zhang, Mingxuan Liu, Yifei Chen +9
cs.CLcs.AIarXiv:2608.20369v12026
From Imitation to Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
Changpeng Yang, Jinyang Wu, Yuchen Liu +9
cs.CLarXiv:2512.02580v22025
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
Fan Gao, Hang Jiang, Rui Yang +7
cs.CLarXiv:2308.10410v42023
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
Mihir Parmar, Xin Liu, Palash Goyal +11
cs.AIcs.CLarXiv:2502.16111v12025
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
Xingyu Lu, He Cao, Zijing Liu +5
cs.CLq-bio.BMarXiv:2403.08192v12024
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li +5
cs.CVcs.AIcs.CLarXiv:2404.01291v22024
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
Yongliang Shen, Xinyin Ma, Zeqi Tan +3
cs.CLarXiv:2105.06804v22021
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Jiaxin Wen, Vivek Hebbar, Caleb Larson +9
cs.CLarXiv:2411.17693v12024
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Jianwei Yang, Hao Zhang, Feng Li +3
cs.CVcs.AIcs.CLarXiv:2310.11441v22023
EvoIn: Bridging Evolution and Internalization for Agent Fine-Tuning
Shihan Dou, Shaofan Liu, Zhonghang Lu +8
cs.AIcs.CLarXiv:2609.35290v12026
PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models
Fiona Anting Tan, Gerard Christopher Yeo, Kokil Jaidka +6
cs.CLarXiv:2403.02246v32024
Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning
Yu Xia, Zhouhang Xie, Xin Xu +4
cs.CLcs.AIarXiv:2606.03965v12026
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Emilio Ferrara
cs.CYcs.CLarXiv:2304.03738v32023
Building Production-Ready Probes For Gemini
János Kramár, Joshua Engels, Zheng Wang +4
cs.LGcs.AIcs.CLarXiv:2601.11516v42026
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola +6
cs.LGcs.CLarXiv:2501.19309v12025
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
Yiran Guo, Lijie Xu, Jie Liu +2
cs.LGcs.AIcs.CLarXiv:2505.23564v22025
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta +2
cs.CLarXiv:2112.08674v22021
Summaries:한국어
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
Jiajia Wang, Jimmy X. Huang, Xinhui Tu +4
cs.IRcs.AIcs.CLarXiv:2403.00784v12024
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu, Raymond J. Mooney
cs.CVcs.CLarXiv:1905.09998v32019
Spirit LM: Interleaved Spoken and Written Language Model
Tu Anh Nguyen, Benjamin Muller, Bokai Yu +13
cs.CLcs.SDeess.ASarXiv:2402.05755v22024
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
Miloš Košprdić, Adela Ljajić, Bojana Bašaragin +2
cs.IRcs.AIcs.CLarXiv:2402.18589v12024
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang, Mosha Chen, Zhen Bi +20
cs.CLcs.AIcs.IRarXiv:2106.08087v62021
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen +3
cs.CLcs.AIarXiv:2210.12186v12022
Measuring the Depth of LLM Unlearning via Activation Patching
Jaeung Lee, Dohyun Kim, Jaemin Jo
cs.CLcs.AIcs.LGarXiv:2605.24614v12026
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
Xiao Liu, Zirui Wu, Xueqing Wu +3
cs.CLcs.AIarXiv:2402.17644v22024
Rethinking the Role of Efficient Attention in Hybrid Architectures
Ziqing Qiao, Yinuo Xu, Chaojun Xiao +6
cs.CLcs.LGarXiv:2606.15378v12026
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
Arnon Mazza, Elad Levi
cs.CLcs.AIcs.LGarXiv:2604.25203v12026
PubMed-OCR: PMC Open Access OCR Annotations
Hunter Heidenreich, Yosheb Getachew, Olivia Dinica +1
cs.CVcs.CLcs.DLarXiv:2601.11425v12026
Defending LLMs against Jailbreaking Attacks via Backtranslation
Yihan Wang, Zhouxing Shi, Andrew Bai +1
cs.CLcs.AIarXiv:2402.16459v32024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis +4
cs.LGcs.AIcs.CLarXiv:2310.06452v32023
Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?
Fumihiko Tachibana, Daisuke Miyashita, Jun Deguchi
cs.LGcs.AIcs.CLarXiv:2609.09768v12026
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren +7
cs.CLcs.AIcs.LGarXiv:2504.10160v12025
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
cs.CLcs.AIarXiv:2405.11403v12024
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
Qi Pang, Shengyuan Hu, Wenting Zheng +1
cs.CRcs.CLcs.LGarXiv:2402.16187v32024
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su, Xizhou Zhu, Yue Cao +4
cs.CVcs.CLcs.LGarXiv:1908.08530v42019
ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models
Zhen Wang, Yuqi Ren, Yuehan Cui +7
cs.CLcs.AIarXiv:2608.20355v12026
Debias-SparseGPT: Bias-Aware Pruning for Large Language Models
Irina Proskurina, Guillaume Metzler, Antoine Gourru +1
cs.CLarXiv:2609.02496v12026
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis
Licai Sun, Zheng Lian, Bin Liu +1
cs.LGcs.CLcs.CVarXiv:2208.07589v22022
Dynamic Evaluation of Large Language Models by Meta Probing Agents
Kaijie Zhu, Jindong Wang, Qinlin Zhao +2
cs.CLcs.AIcs.LGarXiv:2402.14865v22024
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv, Jin Ma, Yiyuan Ma +1
cs.CLcs.LGarXiv:2512.23447v22025
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
Zhuoran Jin, Pengfei Cao, Yubo Chen +5
cs.CLcs.AIcs.IRarXiv:2402.14409v12024
Not Just Reason, Not Just Scan: Reinforcement Learning for Proactive Scientific Error Verification over Academic Paper
Rongjin Li, Yuanxin Liu, Hao Zhou +3
cs.CLarXiv:2608.26596v12026

Computation and Language

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

DeepRepoQA: Code Repository Question Answering with Deep Agent Exploration

Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

V-STaR: Training Verifiers for Self-Taught Reasoners

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks

Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback

Hierarchical Question Answering for Long Documents

Injecting Numerical Reasoning Skills into Language Models

hep-th

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

Frontier Learning: Training LLM Reasoners at the Edge of Capability

Hierarchical Wasserstein Merging for Multi-Domain Multi-Task Learning: From Specialists to a Generalist

Removing RLHF Protections in GPT-4 via Fine-Tuning

ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora

From Imitation to Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension

Evaluating Text-to-Visual Generation with Image-to-Text Generation

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition

Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

EvoIn: Bridging Evolution and Internalization for Agent Fine-Tuning

PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models

Building Production-Ready Probes For Gemini

Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models

Reframing Human-AI Collaboration for Generating Free-Text Explanations

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges

Self-Critical Reasoning for Robust Visual Question Answering

Spirit LM: Interleaved Spoken and Written Language Model

Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Measuring the Depth of LLM Unlearning via Activation Patching

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Rethinking the Role of Efficient Attention in Hybrid Architectures

BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate

PubMed-OCR: PMC Open Access OCR Annotations

Defending LLMs against Jailbreaking Attacks via Backtranslation

Understanding the Effects of RLHF on LLM Generalisation and Diversity

Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models

Debias-SparseGPT: Bias-Aware Pruning for Large Language Models

Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis

Dynamic Evaluation of Large Language Models by Meta Probing Agents

Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss

Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models

Not Just Reason, Not Just Scan: Reinforcement Learning for Proactive Scientific Error Verification over Academic Paper