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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3,001 to 3,060 of 11,196

Diffusion Language Models Know the Answer Before Decoding
Pengxiang Li, Yefan Zhou, Dilxat Muhtar +5
cs.CLcs.AIarXiv:2508.19982v52025
Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1
cs.CLcs.AIarXiv:2609.00086v12026
A Survey of AIOps in the Era of Large Language Models
Lingzhe Zhang, Tong Jia, Mengxi Jia +7
cs.SEcs.CLarXiv:2507.12472v12025
AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes
Xun Wang, Bihe Zhao, Michael Backes +2
cs.CRcs.CLcs.LGarXiv:2609.00052v12026
Textless Speech-to-Speech Translation on Real Data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8
cs.CLcs.AIcs.LGarXiv:2112.08352v22021
Acting Less is Reasoning More! Teaching Model to Act Efficiently
Hongru Wang, Cheng Qian, Wanjun Zhong +7
cs.AIcs.CLarXiv:2504.14870v22025
LLM4SR: A Survey on Large Language Models for Scientific Research
Ziming Luo, Zonglin Yang, Zexin Xu +2
cs.CLcs.DLarXiv:2501.04306v12025
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
Boyu Gou, Zanming Huang, Yuting Ning +23
cs.AIcs.CLarXiv:2506.21506v22025
Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries
Phuong Anh Nguyen, Jill Noorily, Matthew Flathers +7
cs.CYcs.CLcs.IRarXiv:2609.00319v12026
Reinforcing General Reasoning without Verifiers
Xiangxin Zhou, Zichen Liu, Anya Sims +6
cs.LGcs.CLarXiv:2505.21493v12025
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
Haozhen Zhang, Tao Feng, Jiaxuan You
cs.CLcs.AIcs.LGarXiv:2506.09033v32025
Sentence Centrality Revisited for Unsupervised Summarization
Hao Zheng, Mirella Lapata
cs.CLarXiv:1906.03508v12019
Rethinking embedding coupling in pre-trained language models
Hyung Won Chung, Thibault Févry, Henry Tsai +2
cs.CLcs.LGarXiv:2010.12821v12020
Efficient Reasoning Models: A Survey
Sicheng Feng, Gongfan Fang, Xinyin Ma +1
cs.CLcs.AIarXiv:2504.10903v22025
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3
cs.CLcs.AIcs.LGarXiv:2506.01062v42025
Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate
Andrea Wynn, Harsh Satija, Gillian Hadfield
cs.CLcs.AIcs.MAarXiv:2509.05396v22025
Emotional Labor Strategy Preferences in LLM Personas
Mohammad Saim, Tianyu Jiang
cs.CLarXiv:2609.00310v12026
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +1
cs.CLcs.AIarXiv:2310.07849v22023
Hidden Backdoors in Human-Centric Language Models
Shaofeng Li, Hui Liu, Tian Dong +4
cs.CLcs.CRarXiv:2105.00164v32021
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Aaron Blakeman +198
cs.CLcs.AIcs.LGarXiv:2504.03624v42025
LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts
Daniela Occhipinti, Andrea Piergentili, Marco Guerini
cs.CLarXiv:2609.00222v12026
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Quy-Anh Dang, Chris Ngo
cs.LGcs.CLarXiv:2503.16219v22025
NoveltyBench: Evaluating Language Models for Humanlike Diversity
Yiming Zhang, Harshita Diddee, Susan Holm +5
cs.CLarXiv:2504.05228v42025
ART: Automatic multi-step reasoning and tool-use for large language models
Bhargavi Paranjape, Scott Lundberg, Sameer Singh +3
cs.CLarXiv:2303.09014v12023
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem +1
cs.CLcs.LGarXiv:2012.15761v22020
Cultural Moment Benchmark: Evaluating Video Cultural Reasoning and Grounding in Southeast Asia
Burak Satar, Zhixin Ma, Cheng Yu-Tong +3
cs.CVcs.AIcs.CLarXiv:2608.23065v12026
Simpler but More Accurate Semantic Dependency Parsing
Timothy Dozat, Christopher D. Manning
cs.CLarXiv:1807.01396v12018
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions
John Joon Young Chung, Ece Kamar, Saleema Amershi
cs.CLarXiv:2306.04140v12023
AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
Zhiheng Xi, Chenyang Liao, Guanyu Li +12
cs.CLcs.IRcs.LGarXiv:2511.08325v12025
Fine-tuned Language Models are Continual Learners
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
cs.CLarXiv:2205.12393v42022
CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language
Qi Fan, An Zou, Yehan Ma
cs.CLcs.AIcs.MAarXiv:2609.00058v12026
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
Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving
Zhengxu Tang, Xiaozhou Zhang, Guofeng Cui +10
cs.CVcs.CLcs.ROarXiv:2609.01659v12026
Atom of Thoughts for Markov LLM Test-Time Scaling
Fengwei Teng, Quan Shi, Zhaoyang Yu +4
cs.CLcs.AIcs.LGarXiv:2502.12018v42025
CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance Prediction
Zhengxu Tang, Guofeng Cui, Ziyu Gong +8
cs.CVcs.AIcs.CLarXiv:2609.00242v12026
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
Ruikang Liu, Yuxuan Sun, Manyi Zhang +5
cs.CLcs.AIarXiv:2504.04823v22025
How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
Longju Bai, Zhemin Huang, Xingyao Wang +5
cs.CLcs.AIcs.CYarXiv:2604.22750v22026
DeepType: Multilingual Entity Linking by Neural Type System Evolution
Jonathan Raiman, Olivier Raiman
cs.CLarXiv:1802.01021v12018
Argument Mining as a Text-to-Text Generation Task
Masayuki Kawarada, Tsutomu Hirao, Wataru Uchida +1
cs.CLarXiv:2603.23949v12026
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung +1
cs.LGcs.AIcs.CLarXiv:2010.03526v12020
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin +2
cs.LGcs.AIcs.CLarXiv:2502.12215v22025
Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets
Kunal Jadhav, Siddhesh More
cs.CLarXiv:2609.01918v12026
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
Xianfu Cheng, Wei Zhang, Shiwei Zhang +16
cs.CLarXiv:2502.13059v12025
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
Weizhe Yuan, Jane Yu, Song Jiang +8
cs.CLarXiv:2502.13124v42025
Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer, Yicheng Wang, Mohit Bansal
cs.CLcs.AIarXiv:1809.06309v32018
GAPS: Dimension-Level Gates for Conditional Activation Steering
Moghis Fereidouni, Muhammad Umair Haider, Hassan Sajjad +1
cs.CLarXiv:2609.01878v12026
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov +9
cs.CLcs.AIcs.LGarXiv:2403.04696v22024
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Qiuchen Wang, Ruixue Ding, Zehui Chen +4
cs.CVcs.AIcs.CLarXiv:2502.18017v22025
EvoX: Meta-Evolution for Automated Discovery
Shu Liu, Shubham Agarwal, Monishwaran Maheswaran +14
cs.LGcs.CLcs.NEarXiv:2602.23413v22026
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
Jinyan Su, Jennifer Healey, Preslav Nakov +1
cs.CLcs.AIarXiv:2505.00127v12025
Human-like Summarization Evaluation with ChatGPT
Mingqi Gao, Jie Ruan, Renliang Sun +3
cs.CLarXiv:2304.02554v12023
WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch
Zimu Lu, Yunqiao Yang, Houxing Ren +7
cs.CLarXiv:2505.03733v22025
"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild
Yi Liu, Zhihao Chen, Yanjun Zhang +4
cs.CRcs.AIcs.CLarXiv:2602.06547v42026
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
Xingtong Yu, Zechuan Gong, Chang Zhou +2
cs.CLcs.AIarXiv:2502.05424v22025
A Review of Keyphrase Extraction
Eirini Papagiannopoulou, Grigorios Tsoumakas
cs.CLcs.IRarXiv:1905.05044v22019
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +45
cs.CLarXiv:2502.11926v42025
PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian
Mohammad Hossein Shalchian, Mostafa Amiri, Amir Mahdi Sadeghzadeh
cs.CLarXiv:2609.00958v12026
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
Kailai Yang, Tianlin Zhang, Ziyan Kuang +3
cs.CLarXiv:2309.13567v32023
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
cs.CLcs.LGarXiv:2504.17674v12025
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
Kai Nakamura, Sharon Levy, William Yang Wang
cs.CLcs.CYcs.IRarXiv:1911.03854v22019

Computation and Language

Diffusion Language Models Know the Answer Before Decoding

Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation

A Survey of AIOps in the Era of Large Language Models

AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes

Textless Speech-to-Speech Translation on Real Data

Acting Less is Reasoning More! Teaching Model to Act Efficiently

LLM4SR: A Survey on Large Language Models for Scientific Research

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries

Reinforcing General Reasoning without Verifiers

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning

Sentence Centrality Revisited for Unsupervised Summarization

Rethinking embedding coupling in pre-trained language models

Efficient Reasoning Models: A Survey

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate

Emotional Labor Strategy Preferences in LLM Personas

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Hidden Backdoors in Human-Centric Language Models

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

NoveltyBench: Evaluating Language Models for Humanlike Diversity

ART: Automatic multi-step reasoning and tool-use for large language models

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

Cultural Moment Benchmark: Evaluating Video Cultural Reasoning and Grounding in Southeast Asia

Simpler but More Accurate Semantic Dependency Parsing

Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress

Fine-tuned Language Models are Continual Learners

CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language

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

Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving

Atom of Thoughts for Markov LLM Test-Time Scaling

CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance Prediction

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

DeepType: Multilingual Entity Linking by Neural Type System Evolution

Argument Mining as a Text-to-Text Generation Task

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions

Commonsense for Generative Multi-Hop Question Answering Tasks

GAPS: Dimension-Level Gates for Conditional Activation Steering

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

EvoX: Meta-Evolution for Automated Discovery

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

Human-like Summarization Evaluation with ChatGPT

WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch

"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation

A Review of Keyphrase Extraction

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection