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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9,121 to 9,180 of 11,260

GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?
Kun Chen, Haorong Hong, Peizhong Gao +7
cs.AIcs.CLarXiv:2608.21833v12026
FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
Jie Zhu, Yimin Tian, Boyang Li +8
cs.AIcs.CLarXiv:2603.24943v12026
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu, Uri Alon, Graham Neubig +1
cs.PLcs.CLarXiv:2202.13169v32022
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen +2
cs.LGcs.AIcs.CLarXiv:2306.01708v22023
CCTU: A Benchmark for Tool Use under Complex Constraints
Junjie Ye, Guoqiang Zhang, Wenjie Fu +3
cs.CLcs.AIarXiv:2603.15309v12026
Arcee Trinity Large Technical Report
Varun Singh, Lucas Krauss, Sami Jaghouar +23
cs.LGcs.CLarXiv:2602.17004v12026
Towards Automated Kernel Generation in the Era of LLMs
Yang Yu, Peiyu Zang, Chi Hsu Tsai +11
cs.LGcs.CLarXiv:2601.15727v32026
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
cs.CLcs.HCcs.IRarXiv:1704.00656v32017
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
Qian Chen, Jinlan Fu, Changsong Li +3
cs.CLcs.CVcs.MMarXiv:2601.13836v22026
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov +1
cs.CLcs.AIcs.LGarXiv:2310.11324v22023
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
Biyang Guo, Xin Zhang, Ziyuan Wang +5
cs.CLarXiv:2301.07597v12023
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
PersonaVLM: Long-Term Personalized Multimodal LLMs
Chang Nie, Chaoyou Fu, Yifan Zhang +2
cs.CLcs.CVarXiv:2604.13074v12026
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Aida Amini, Saadia Gabriel, Peter Lin +3
cs.CLarXiv:1905.13319v12019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun, Shuohuan Wang, Yukun Li +4
cs.CLarXiv:1907.12412v22019
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
Yuming Yang, Mingyoung Lai, Wanxu Zhao +13
cs.CLarXiv:2601.14249v52026
Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning
Chengzu Li, Zanyi Wang, Jiaang Li +9
cs.LGcs.AIcs.CLarXiv:2601.21037v12026
KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization
Alireza Nadafian, Alireza Mohammadshahi, Majid Yazdani
cs.AIcs.CLcs.SEarXiv:2601.21526v22026
Residual Context Diffusion Language Models
Yuezhou Hu, Harman Singh, Monishwaran Maheswaran +10
cs.CLcs.AIarXiv:2601.22954v22026
HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing
Yizhao Gao, Jianyu Wei, Qihao Zhang +11
cs.CLcs.AIarXiv:2602.03560v12026
Linear representations in language models can change dramatically over a conversation
Andrew Kyle Lampinen, Yuxuan Li, Eghbal Hosseini +2
cs.CLcs.LGarXiv:2601.20834v22026
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu +10
cs.CLarXiv:2305.08322v32023
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
cs.CLcs.AIcs.LGarXiv:2601.21996v22026
BERT-ATTACK: Adversarial Attack Against BERT Using BERT
Linyang Li, Ruotian Ma, Qipeng Guo +2
cs.CLarXiv:2004.09984v32020
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson, Tong Zhang
cs.CLcs.LGstat.MLarXiv:1412.1058v22014
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller +2
cs.IRcs.AIcs.CLarXiv:2004.02349v22020
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli +6
cs.CLcs.AIcs.LGarXiv:1506.06714v12015
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
Seongyun Lee, Yongrae Jo, Minju Seo +2
cs.AIcs.CLarXiv:2601.07226v12026
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
Andreas Köpf, Yannic Kilcher, Dimitri von Rütte +15
cs.CLcs.AIarXiv:2304.07327v22023
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral +1
cs.CLcs.AIcs.CVarXiv:2104.08773v42021
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Yu Chen, Runkai Chen, Sheng Yi +9
cs.CLcs.AIcs.IRarXiv:2603.23516v22026
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu, Sidi Lu, Lei Zheng +4
cs.CLcs.IRcs.LGarXiv:1802.01886v12018
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Ralf C. Staudemeyer, Eric Rothstein Morris
cs.NEcs.CLcs.LGarXiv:1909.09586v12019
MemoBrain: Executive Memory as an Agentic Brain for Reasoning
Hongjin Qian, Zhao Cao, Zheng Liu
cs.AIcs.CLcs.IRarXiv:2601.08079v12026
Prime Agent: A Self-Improving RLM Harness
Seth Karten, Alex L. Zhang, Kevin Thomas +8
cs.AIcs.CLcs.SEarXiv:2608.23552v12026
Toward Efficient Agents: Memory, Tool learning, and Planning
Xiaofang Yang, Lijun Li, Heng Zhou +12
cs.AIcs.CLarXiv:2601.14192v22026
Predicting the Type and Target of Offensive Posts in Social Media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov +3
cs.CLarXiv:1902.09666v22019
Self-Improving World Modelling with Latent Actions
Yifu Qiu, Zheng Zhao, Waylon Li +4
cs.LGcs.AIcs.CLarXiv:2602.06130v22026
Adversarial Learning for Neural Dialogue Generation
Jiwei Li, Will Monroe, Tianlin Shi +3
cs.CLarXiv:1701.06547v52017
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt, Emiel Krahmer
cs.CLcs.AIcs.NEarXiv:1703.09902v42017
LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
William Lugoloobi, Thomas Foster, William Bankes +1
cs.CLcs.AIcs.LGarXiv:2602.09924v42026
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, Preslav Nakov
cs.CLcs.IRcs.LGarXiv:1912.00741v12019
Crowdsourcing Multiple Choice Science Questions
Johannes Welbl, Nelson F. Liu, Matt Gardner
cs.HCcs.AIcs.CLarXiv:1707.06209v12017
Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR
Fanfan Liu, Youyang Yin, Peng Shi +3
cs.CLarXiv:2602.05261v12026
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Yann Dubois, Balázs Galambosi, Percy Liang +1
cs.LGcs.AIcs.CLarXiv:2404.04475v22024
Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA
Jingjie Ning, Xueqi Li
cs.IRcs.CLarXiv:2608.22856v12026
Temporal Pattern Attention for Multivariate Time Series Forecasting
Shun-Yao Shih, Fan-Keng Sun, Hung-yi Lee
cs.LGcs.CLstat.MLarXiv:1809.04206v32018
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
Nitay Calderon, Eyal Ben-David, Zorik Gekhman +2
cs.CLcs.AIarXiv:2602.14080v22026
Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li +8
cs.CLcs.AIcs.LGarXiv:2308.10792v102023
UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory
Yongshi Ye, Hui Jiang, Feihu Jiang +7
cs.CLarXiv:2602.10652v12026
MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
Changle Qu, Sunhao Dai, Hengyi Cai +3
cs.CLcs.AIarXiv:2601.10712v12026
Agentic-R: Learning to Retrieve for Agentic Search
Wenhan Liu, Xinyu Ma, Yutao Zhu +4
cs.IRcs.CLarXiv:2601.11888v12026
Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang +6
cs.CLcs.AIcs.LGarXiv:2309.01029v32023
LMEB: Long-horizon Memory Embedding Benchmark
Xinping Zhao, Xinshuo Hu, Jiaxin Xu +9
cs.CLarXiv:2603.12572v62026
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried, Armen Aghajanyan, Jessy Lin +7
cs.SEcs.CLcs.LGarXiv:2204.05999v32022
X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
Jie Wu, Haoling Li, Xin Zhang +7
cs.CLcs.LGarXiv:2601.06953v22026
Apodex 1.1: Scaling Agentic Intelligence for Complex Work
Apodex Team, B. An, B. Li +68
cs.AIcs.CLcs.LGarXiv:2608.23283v12026
Sentiment of Emojis
Petra Kralj Novak, Jasmina Smailović, Borut Sluban +1
cs.CLarXiv:1509.07761v22015
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Zixian Huang, Kaichen Yang, Xu Huang +6
cs.CLarXiv:2604.14164v22026
Reasoning Models Generate Societies of Thought
Junsol Kim, Shiyang Lai, Nino Scherrer +2
cs.CLcs.CYcs.LGarXiv:2601.10825v12026

Computation and Language

GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?

FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol

A Systematic Evaluation of Large Language Models of Code

TIES-Merging: Resolving Interference When Merging Models

CCTU: A Benchmark for Tool Use under Complex Constraints

Arcee Trinity Large Technical Report

Towards Automated Kernel Generation in the Era of LLMs

Detection and Resolution of Rumours in Social Media: A Survey

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Reward-free Alignment for Conflicting Objectives

PersonaVLM: Long-Term Personalized Multimodal LLMs

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning

KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization

Residual Context Diffusion Language Models

HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing

Linear representations in language models can change dramatically over a conversation

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

TAPAS: Weakly Supervised Table Parsing via Pre-training

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens

Texygen: A Benchmarking Platform for Text Generation Models

Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

MemoBrain: Executive Memory as an Agentic Brain for Reasoning

Prime Agent: A Self-Improving RLM Harness

Toward Efficient Agents: Memory, Tool learning, and Planning

Predicting the Type and Target of Offensive Posts in Social Media

Self-Improving World Modelling with Latent Actions

Adversarial Learning for Neural Dialogue Generation

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

SemEval-2017 Task 4: Sentiment Analysis in Twitter

Crowdsourcing Multiple Choice Science Questions

Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA

Temporal Pattern Attention for Multivariate Time Series Forecasting

Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality

Instruction Tuning for Large Language Models: A Survey

UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching

Agentic-R: Learning to Retrieve for Agentic Search

Explainability for Large Language Models: A Survey

LMEB: Long-horizon Memory Embedding Benchmark

InCoder: A Generative Model for Code Infilling and Synthesis

X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests

Apodex 1.1: Scaling Agentic Intelligence for Complex Work

Sentiment of Emojis

How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data

Reasoning Models Generate Societies of Thought