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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2,221 to 2,280 of 11,310

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao +1
cs.CLcs.AIcs.LGarXiv:1911.04700v12019
Vectorizing Classical Tamil: Representation Learning for Verse-Commentary Pairs
Amrit Gopinath, Sangeetha Sivanesan
cs.CLarXiv:2609.04755v12026
Prompt-Learning for Fine-Grained Entity Typing
Ning Ding, Yulin Chen, Xu Han +6
cs.CLcs.AIarXiv:2108.10604v12021
How Do Language Models Represent and Use Phonological Information for Allomorph Selection?
Sangwoo Kim, Sangah Lee
cs.CLarXiv:2609.04708v12026
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck, Jannis Bulian, Massimiliano Ciaramita +4
cs.CLcs.AIarXiv:1705.07830v32017
Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation
Minsang Kim, Seung Jun Baek
cs.CLcs.AIcs.LGarXiv:2603.13260v12026
Choosing the Right Language Mode at Inference Time for Multilingual Reliability
Ekata Mitra, Ameeta Agrawal
cs.CLarXiv:2609.04653v12026
Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
Wei Liu, Siya Qi, Yali Du +1
cs.LGcs.AIcs.CLarXiv:2603.02218v22026
Text summarization via global structure awareness
Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9
cs.CLcs.AIarXiv:2602.09821v22026
ConsensusBench: Benchmark of Consensus Nodes for LLM Reasoning via Outcome Reward Densifying
Shi-Qi Yan, Chao-Hong Tan, Qian Chen +3
cs.CLarXiv:2609.04648v12026
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
Yixi Zhou, Fan Zhang, Yu Chen +3
cs.IRcs.AIcs.CLarXiv:2601.06992v22026
CAGE: Coherence-Aware Graph Encoding for Retrieval-Augmented Generation
Tong Qi, Jingyu Wu, Youbing Yin +3
cs.CLcs.IRarXiv:2609.04647v12026
All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
Xi Chen, Mingyu Jin, Jingcheng Niu +7
cs.CLarXiv:2605.12671v12026
Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues
Chuanrui Hu, Tong Li, Xingze Gao +8
cs.CLcs.AIarXiv:2602.01313v32026
Can We Predict Before Executing Machine Learning Agents?
Jingsheng Zheng, Jintian Zhang, Yujie Luo +5
cs.CLcs.AIcs.LGarXiv:2601.05930v22026
From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents
Niu Lian, Yuting Wang, Hanshu Yao +5
cs.CVcs.AIcs.CLarXiv:2603.01455v32026
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi +5
cs.ROcs.CLarXiv:1710.06280v22017
TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees
Tianyu Liu, Qitan Lv, Yuhao Shen +2
cs.CLarXiv:2601.07353v12026
BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
Yunhao Feng, Yige Li, Yutao Wu +6
cs.AIcs.CLarXiv:2601.04566v22026
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
Bo Li, Mingda Wang, Gexiang Fang +2
cs.CLcs.AIarXiv:2604.11407v22026
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Xinchi Chen, Zhan Shi, Xipeng Qiu +1
cs.CLarXiv:1704.07556v12017
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Sebastian Ruder, Barbara Plank
cs.CLcs.LGstat.MLarXiv:1804.09530v12018
Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
Jonas Knupp, Jan Hendrik Metzen, Jeremias Bohn +2
cs.AIcs.CLcs.LGarXiv:2601.21582v12026
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
Tao Feng, Pengrui Han, Guanyu Lin +2
cs.CLcs.IRarXiv:2604.12231v12026
Entities as Experts: Sparse Memory Access with Entity Supervision
Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald +2
cs.CLcs.LGarXiv:2004.07202v22020
A Verifier-Guided Explainable Reasoning Framework with Gold-Anchored QLoRA, Task-Aware Mixture-of-Experts, and Group-Relative RLVR
Thi Kim Trang Vo, Nam Tien Le, Thi Kim Nguyet Vo +2
cs.CLcs.AIcs.LGarXiv:2609.05221v12026
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne +3
cs.CLarXiv:2010.10392v32020
The Shape of Beliefs: Geometry, Dynamics, and Interventions along Representation Manifolds of Language Models' Posteriors
Raphaël Sarfati, Eric Bigelow, Daniel Wurgaft +6
cs.CLarXiv:2602.02315v22026
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Yifan Song, Guoyin Wang, Sujian Li +1
cs.CLcs.AIarXiv:2407.10457v12024
RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents
Haitian Zhong, Jixiu Zhai, Lei Song +3
cs.AIcs.CLarXiv:2602.03025v12026
BioMegatron: Larger Biomedical Domain Language Model
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina +4
cs.CLarXiv:2010.06060v22020
Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs
Yibo Wang, Hai-Long Sun, Qing-Guo Chen +4
cs.CLcs.LGarXiv:2601.08198v12026
Multimodal Multi-Agent Empowered Legal Judgment Prediction
Zhaolu Kang, Junhao Gong, Qingxi Chen +7
cs.CLcs.AIcs.CYarXiv:2601.12815v52026
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh +4
cs.CLarXiv:2212.05409v32022
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa +8
cs.AIcs.CLcs.LGarXiv:1809.05724v22018
A Structured Debate-Mixture-of-Agents Framework for Complex Clinical Diagnostic Decision Support
Chang Xia, Leilei Ouyang, Huimin Wang +2
cs.CLcs.AIarXiv:2609.05069v12026
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity, Nitish Shirish Keskar, Richard Socher
cs.CLcs.AIcs.NEarXiv:1803.08240v12018
Are We Done with MMLU?
Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong +13
cs.CLcs.AIarXiv:2406.04127v32024
A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment
María Eugenia Curi, Germán Capdehourat, Isabel Amigo +4
cs.CLcs.AIarXiv:2609.05143v12026
MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety
Xiaoyu Wen, Zhida He, Han Qi +7
cs.AIcs.CLcs.LGarXiv:2602.01539v22026
COLD: A Benchmark for Chinese Offensive Language Detection
Jiawen Deng, Jingyan Zhou, Hao Sun +4
cs.CLcs.AIarXiv:2201.06025v22022
OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents
Yulin Hu, Zimo Long, Jiahe Guo +5
cs.CLcs.AIarXiv:2601.13722v12026
Finding Universal Grammatical Relations in Multilingual BERT
Ethan A. Chi, John Hewitt, Christopher D. Manning
cs.CLcs.LGarXiv:2005.04511v22020
Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information
Yao Chen, Jiawei Sheng, Wenyuan Zhang +1
cs.CLarXiv:2604.15701v12026
ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation
Jiarui Jin, Haoyu Wang, Xingliang Wu +9
cs.CLarXiv:2602.04279v32026
How do LLMs Evaluate Perceived Moral Agency? Investigating Moral Decision-Making in Human-Artificial Agents Interactions
Fernanda Mansilla, Aloysius Tok, Bahia Guellaï +2
cs.CLcs.AIarXiv:2609.05037v12026
Evaluating Factuality in Generation with Dependency-level Entailment
Tanya Goyal, Greg Durrett
cs.CLarXiv:2010.05478v22020
Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?
Pengxiang Li, Dilxat Muhtar, Tianlong Chen +2
cs.CLcs.AIarXiv:2602.23225v22026
Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance
Mostapha Benhenda
cs.AIcs.CLcs.LGarXiv:2601.13770v12026
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang, Wenhan Xiong, Mo Yu +3
cs.CLarXiv:1903.02588v32019
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Abhay Sheshadri, Aidan Ewart, Phillip Guo +8
cs.LGcs.AIcs.CLarXiv:2407.15549v32024
RefactorPlatform: An Open-Source Harness for Controlled Evaluation of Repository-Scale Refactoring Agents
Aziz Ben Amor, Drish Mali, Mann Acharya +2
cs.CLcs.AIarXiv:2609.04898v12026
Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks
Delip Rao, Chris Callison-Burch
cs.CLcs.AIarXiv:2603.00077v32026
Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence
Sumanth Balaji, Piyush Mishra, Aashraya Sachdeva +1
cs.CLarXiv:2601.00596v12026
Replaying pre-training data improves fine-tuning
Suhas Kotha, Percy Liang
cs.CLcs.LGarXiv:2603.04964v12026
Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects
Jun Zhang, Yicheng Ji, Feiyang Ren +7
cs.CLarXiv:2604.05546v22026
Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning
Yechen Zhang, Shuhao Xing, Junhao Huang +5
cs.LGcs.AIcs.CLarXiv:2603.09697v22026
Learning to Faithfully Rationalize by Construction
Sarthak Jain, Sarah Wiegreffe, Yuval Pinter +1
cs.CLcs.AIcs.LGarXiv:2005.00115v12020
Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
Massimiliano Pronesti, Anya Belz, Yufang Hou
cs.CLcs.AIarXiv:2601.17223v12026
Olmix: A Framework for Data Mixing Throughout LM Development
Mayee F. Chen, Tyler Murray, David Heineman +5
cs.LGcs.AIcs.CLarXiv:2602.12237v12026

Computation and Language

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

Vectorizing Classical Tamil: Representation Learning for Verse-Commentary Pairs

Prompt-Learning for Fine-Grained Entity Typing

How Do Language Models Represent and Use Phonological Information for Allomorph Selection?

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation

Choosing the Right Language Mode at Inference Time for Multilingual Reliability

Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain

Text summarization via global structure awareness

ConsensusBench: Benchmark of Consensus Nodes for LLM Reasoning via Outcome Reward Densifying

FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering

CAGE: Coherence-Aware Graph Encoding for Retrieval-Augmented Generation

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs

Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues

Can We Predict Before Executing Machine Learning Agents?

From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees

BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents

Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning

Adversarial Multi-Criteria Learning for Chinese Word Segmentation

Strong Baselines for Neural Semi-supervised Learning under Domain Shift

Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems

Entities as Experts: Sparse Memory Access with Entity Supervision

A Verifier-Guided Explainable Reasoning Framework with Gold-Anchored QLoRA, Task-Aware Mixture-of-Experts, and Group-Relative RLVR

CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

The Shape of Beliefs: Geometry, Dynamics, and Interventions along Representation Manifolds of Language Models' Posteriors

The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism

RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents

BioMegatron: Larger Biomedical Domain Language Model

Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs

Multimodal Multi-Agent Empowered Legal Judgment Prediction

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

A Structured Debate-Mixture-of-Agents Framework for Complex Clinical Diagnostic Decision Support

An Analysis of Neural Language Modeling at Multiple Scales

Are We Done with MMLU?

A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment

MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety

COLD: A Benchmark for Chinese Offensive Language Detection

OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents

Finding Universal Grammatical Relations in Multilingual BERT

Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information

ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation

How do LLMs Evaluate Perceived Moral Agency? Investigating Moral Decision-Making in Human-Artificial Agents Interactions

Evaluating Factuality in Generation with Dependency-level Entailment

Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?

Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance

Sentence Embedding Alignment for Lifelong Relation Extraction

Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs

RefactorPlatform: An Open-Source Harness for Controlled Evaluation of Repository-Scale Refactoring Agents

Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks

Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence

Replaying pre-training data improves fine-tuning

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects

Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning

Learning to Faithfully Rationalize by Construction

Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning

Olmix: A Framework for Data Mixing Throughout LM Development