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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12,541 to 12,600 of 19,357

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer +3
cs.CLcs.LGarXiv:1809.00782v12018
Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang +1
cs.CLcs.LGcs.NEarXiv:1702.00887v32017
How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction
Zhaolu Kang, Yingjie He, Kehan Jiang +18
cs.CLarXiv:2601.08626v42026
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
Yuchen Li, Yuanzhi Li, Andrej Risteski
cs.LGcs.CLstat.MLarXiv:2303.04245v22023
Language-Specific Effects of Tokenizer Choice in Multilingual Language Models
Clara Meister, Gül Sena Altıntaş, Antoine Bosselut
cs.CLarXiv:2610.12144v12026
AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinking
Zining Wang, Tongkun Guan, Boming Chen +8
cs.CLcs.LGarXiv:2608.26141v12026
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Michal Chudoba, Sergey Alyaev, Petra Galuscakova +1
cs.LGcs.AIcs.CLarXiv:2606.11854v12026
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
Zixuan Ke, Fangkai Jiao, Yifei Ming +9
cs.AIcs.CLarXiv:2504.09037v42025
Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
Ishaq Aden-Ali, Noah Golowich, Allen Liu +3
cs.LGcs.AIcs.CLarXiv:2602.04863v12026
Strategically Diverse Sampling for Self-Training
Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata
cs.CLarXiv:2609.31571v12026
Understanding Syllogistic Reasoning in LLMs from Formal and Natural Language Perspectives
Aheli Poddar, Saptarshi Sahoo, Sujata Ghosh
cs.CLcs.AIarXiv:2512.12620v32025
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
Feijie Wu, Zitao Li, Yaliang Li +2
cs.LGcs.CLcs.DCarXiv:2406.17706v12024
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
Wenhan Liu, Xinyu Ma, Weiwei Sun +4
cs.IRcs.AIcs.CLarXiv:2508.07050v32025
Data-to-Text Generation with Content Selection and Planning
Ratish Puduppully, Li Dong, Mirella Lapata
cs.CLarXiv:1809.00582v22018
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Shobhita Sundaram, John Quan, Ariel Kwiatkowski +3
cs.LGcs.CLarXiv:2601.18778v32026
Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models
José Luciano Verçosa Marques, Frederico Jorge Heitmann, Daniel Omar Perez +2
cs.AIcs.CLarXiv:2609.05333v12026
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju +4
cs.AIcs.CLcs.CVarXiv:1610.02424v22016
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng, Viktoria Abrecht
cs.CLcs.IRarXiv:1508.06034v12015
If beam search is the answer, what was the question?
Clara Meister, Tim Vieira, Ryan Cotterell
cs.CLarXiv:2010.02650v22020
RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
Leyi Pan, Shuchang Tao, Yunpeng Zhai +5
cs.LGcs.CLarXiv:2606.11709v12026
Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Media
Rajveer Singh Pall, Sameer Yadav
cs.CLcs.LGarXiv:2608.26138v12026
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
Wuwei Lan, Wei Xu
cs.CLarXiv:1806.04330v22018
TRACE: Temporal Retrieval with Anchored and Convergent Evidence for Long-Horizon Video Understanding
Pengyiang Liu, Junbo Niu, Xiaoyang Hu +4
cs.CVcs.CLarXiv:2608.22516v12026
MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
Yixin Wan, Lei Ke, Wenhao Yu +2
cs.CVcs.AIcs.CLarXiv:2512.10284v22025
Agent Seer: Synthesizing Scenarios from Specification Understanding
Harish Karumuri, Mahesh Vemula, David Lopes Pegna
cs.CLarXiv:2608.26133v12026
When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling
Yong Yi Bay, Kathleen A. Yearick
cs.LGcs.AIcs.CLarXiv:2606.28661v12026
BCMT: Blockwise Causal Memory Transformer
Rachid Arezki
cs.CLcs.AIcs.LGarXiv:2608.13578v12026
Pass or Fail? Evaluating LLMs on Two Greek Examination Benchmarks
Panagiota Kyriazi, Eleni Kasoura, Prokopis Prokopidis
cs.CLarXiv:2609.34800v12026
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
Hongru Cai, Yongqi Li, Tiezheng Yu +4
cs.CLcs.AIarXiv:2601.18731v22026
Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
Lavender Y. Jiang, Angelica Chen, Xu Han +16
cs.CLcs.AIcs.LGarXiv:2511.13703v12025
How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review
Ming Li, Chenguang Wang, Xirui Li +5
cs.CLcs.AIarXiv:2608.08975v12026
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
Lei Li, Yuqi Wang, Runxin Xu +4
cs.CVcs.CLarXiv:2403.00231v32024
Decomposing LLM-Judge Uncertainty to Target Expert Labels
Ryan Lail
cs.CLcs.LGarXiv:2609.06444v32026
Evaluating Large Language Models for Detecting Antisemitism
Jay Patel, Hrudayangam Mehta, Jeremy Blackburn
cs.CLcs.AIcs.CYarXiv:2509.18293v22025
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Yanran Li, Hui Su, Xiaoyu Shen +3
cs.CLarXiv:1710.03957v12017
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei +3
cs.DCcs.CLcs.LGarXiv:2610.13325v12026
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling
Ziqiang Zhang, Long Zhou, Chengyi Wang +10
cs.CLcs.AIcs.SDarXiv:2303.03926v12023
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems
Yannis Katsis, Sara Rosenthal, Kshitij Fadnis +7
cs.CLcs.AIarXiv:2501.03468v12025
Host-Aware Web Crawling for LLM Pretraining Data
Malte Ostendorff
cs.CLarXiv:2610.13321v12026
Inference-Time Reasoning Selectively Reduces Implicit Social Bias in Large Language Models
Molly Apsel, Michael N. Jones
cs.CYcs.CLarXiv:2602.04742v12026
OpenNMT: Neural Machine Translation Toolkit
Guillaume Klein, Yoon Kim, Yuntian Deng +3
cs.CLarXiv:1805.11462v12018
From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection
Zhibo Hou, Fan Zhao, Zhiyu An +1
cs.CLcs.LGarXiv:2608.25243v12026
Self-Supervised Lexical Representation Learning for Fast, Large-Scale Phylogenetic Inference
Tim Wientzek
cs.CLarXiv:2609.05262v12026
Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search
Yuan Chang, Xiaoqi Chen
cs.AIcs.CLarXiv:2608.27266v12026
Patent Claim Generation by Fine-Tuning OpenAI GPT-2
Jieh-Sheng Lee, Jieh Hsiang
cs.CLcs.LGstat.MLarXiv:1907.02052v12019
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis +3
cs.CLarXiv:2103.13084v12021
TxGemma: Efficient and Agentic LLMs for Therapeutics
Eric Wang, Samuel Schmidgall, Paul F. Jaeger +6
cs.AIcs.CLcs.LGarXiv:2504.06196v12025
How Reliable are AMR Parser Outputs? Uncertainty Estimation for AMR Parsing
Anuj Kumar, Shintaro Ozaki, Yamuna Prasad +3
cs.CLcs.AIarXiv:2610.13236v12026
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
Xiaojun Xu, Chang Liu, Dawn Song
cs.CLcs.AIcs.DBarXiv:1711.04436v12017
Mem-α: Learning Memory Construction via Reinforcement Learning
Yu Wang, Ryuichi Takanobu, Zhiqi Liang +4
cs.CLarXiv:2509.25911v12025
SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News Detection
Ziyu Luo, Wei Li, Haoping Huang +2
cs.CLarXiv:2610.13207v12026
A Semiotics-Aware Framework for Evaluating Fidelity and Coverage in Natural Language Generation
Lorenzo Zangari, Davide Picca
cs.CLcs.AIarXiv:2609.26527v12026
DeflectBench: A Benchmark for Evaluating Rhetorical Fallacy Generation in LLMs
Art Kanke
cs.CLarXiv:2608.26119v12026
e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur, Matthew Y. R. Yang, Charlie Snell +5
cs.LGcs.CLarXiv:2506.09026v22025
Scaling Manual-Grounded Appliance Manipulation with Data Synthesis and Unified Planning
Yuxing Long, Lei Kang, Ziyan Yu +8
cs.ROcs.AIcs.CLarXiv:2608.15863v12026
Evaluating Cultural Awareness of LLMs for Haitian Creole
Christelle Clervilsson, Yanzhu Guo
cs.CLcs.AIarXiv:2609.31506v12026
Stochastic model for the vocabulary growth in natural languages
Martin Gerlach, Eduardo G. Altmann
physics.soc-phcs.CLphysics.data-anarXiv:1212.1362v32012
Large Language Models with At Most One Spike per Neuron
Zhuoya Zhao, Parsa Omidi, Aref Jafari +1
cs.NEcs.CLarXiv:2609.05151v12026
Immunization against harmful fine-tuning attacks
Domenic Rosati, Jan Wehner, Kai Williams +4
cs.CLarXiv:2402.16382v22024
Word Embedding Visualization Via Dictionary Learning
Juexiao Zhang, Yubei Chen, Brian Cheung +1
cs.CLcs.LGarXiv:1910.03833v22019

Computation and Language

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Structured Attention Networks

How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction

How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding

Language-Specific Effects of Tokenizer Choice in Multilingual Language Models

AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinking

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems

Subliminal Effects in Your Data: A General Mechanism via Log-Linearity

Strategically Diverse Sampling for Self-Training

Understanding Syllogistic Reasoning in LLMs from Formal and Natural Language Perspectives

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability

Data-to-Text Generation with Content Selection and Planning

Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Better Summarization Evaluation with Word Embeddings for ROUGE

If beam search is the answer, what was the question?

RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation

Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Media

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

TRACE: Temporal Retrieval with Anchored and Convergent Evidence for Long-Horizon Video Understanding

MotionEdit: Benchmarking and Learning Motion-Centric Image Editing

Agent Seer: Synthesizing Scenarios from Specification Understanding

When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling

BCMT: Blockwise Causal Memory Transformer

Pass or Fail? Evaluating LLMs on Two Greek Examination Benchmarks

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations

How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Decomposing LLM-Judge Uncertainty to Target Expert Labels

Evaluating Large Language Models for Detecting Antisemitism

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Taking Tokenization off the Host for Agentic LLM Serving

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems

Host-Aware Web Crawling for LLM Pretraining Data

Inference-Time Reasoning Selectively Reduces Implicit Social Bias in Large Language Models

OpenNMT: Neural Machine Translation Toolkit

From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection

Self-Supervised Lexical Representation Learning for Fast, Large-Scale Phylogenetic Inference

Naive Prompt Optimization: Rethinking the Need for Complex Prompt Search

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases

TxGemma: Efficient and Agentic LLMs for Therapeutics

How Reliable are AMR Parser Outputs? Uncertainty Estimation for AMR Parsing

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Mem-α: Learning Memory Construction via Reinforcement Learning

SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News Detection

A Semiotics-Aware Framework for Evaluating Fidelity and Coverage in Natural Language Generation

DeflectBench: A Benchmark for Evaluating Rhetorical Fallacy Generation in LLMs

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs

Scaling Manual-Grounded Appliance Manipulation with Data Synthesis and Unified Planning

Evaluating Cultural Awareness of LLMs for Haitian Creole

Stochastic model for the vocabulary growth in natural languages

Large Language Models with At Most One Spike per Neuron

Immunization against harmful fine-tuning attacks

Word Embedding Visualization Via Dictionary Learning