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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8,761 to 8,820 of 11,225

Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation
Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim +6
cs.AIcs.CLarXiv:2601.14691v22026
Active Retrieval Augmented Generation
Zhengbao Jiang, Frank F. Xu, Luyu Gao +6
cs.CLcs.LGarXiv:2305.06983v22023
AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
Xilin Jiang, Qiaolin Wang, Junkai Wu +30
cs.SDcs.CLcs.CVarXiv:2601.17645v12026
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
Zhongxiang Sun, Qipeng Wang, Weijie Yu +3
cs.CLarXiv:2601.23188v12026
A Comparative Study on Transformer vs RNN in Speech Applications
Shigeki Karita, Nanxin Chen, Tomoki Hayashi +10
cs.CLcs.SDeess.ASarXiv:1909.06317v22019
Spanish Pre-trained BERT Model and Evaluation Data
José Cañete, Gabriel Chaperon, Rodrigo Fuentes +3
cs.CLcs.AIcs.LGarXiv:2308.02976v12023
SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?
Deyao Hong, Yizhe Chi, Wenyi Li +7
cs.CLcs.AIcs.SEarXiv:2608.23564v12026
Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains
Miguel Contreras, Scott Siegel, Subhash Nerella +30
cs.CLcs.AIarXiv:2608.22622v12026
RebuttalAgent: Strategic Persuasion in Academic Rebuttal via Theory of Mind
Zhitao He, Zongwei Lyu, Yi R Fung
cs.CLcs.AIarXiv:2601.15715v32026
Mecellem Models: Turkish Models Trained from Scratch and Continually Pre-trained for the Legal Domain
Özgür Uğur, Mahmut Göksu, Mahmut Çimen +6
cs.CLarXiv:2601.16018v12026
Embodied Question Answering
Abhishek Das, Samyak Datta, Georgia Gkioxari +3
cs.CVcs.AIcs.CLarXiv:1711.11543v22017
ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas
Xiaoyu Tian, Haotian Wang, Shuaiting Chen +12
cs.CLarXiv:2601.21558v22026
Fact or Fiction: Verifying Scientific Claims
David Wadden, Shanchuan Lin, Kyle Lo +4
cs.CLarXiv:2004.14974v62020
Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak +9
cs.CLarXiv:1804.00344v32018
Designing and Interpreting Probes with Control Tasks
John Hewitt, Percy Liang
cs.CLarXiv:1909.03368v12019
Beyond Correctness: Learning Robust Reasoning via Transfer
Hyunseok Lee, Soheil Abbasloo, Jihoon Tack +1
cs.LGcs.CLarXiv:2602.08489v12026
Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
Shengrui Li, Fei Zhao, Kaiyan Zhao +6
cs.CLcs.AIarXiv:2602.00747v32026
PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding
Panagiotis Koromilas, Andreas D. Demou, James Oldfield +2
cs.LGcs.CLarXiv:2602.01322v22026
Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation
Kwun Hang Lau, Fangyuan Zhang, Boyu Ruan +4
cs.CLcs.AIarXiv:2602.01965v12026
Bridging Online and Offline RL: Contextual Bandit Learning for Multi-Turn Code Generation
Ziru Chen, Dongdong Chen, Ruinan Jin +3
cs.LGcs.AIcs.CLarXiv:2602.03806v12026
From Data to Behavior: Predicting Unintended Model Behaviors Before Training
Mengru Wang, Zhenqian Xu, Junfeng Fang +4
cs.LGcs.AIcs.CLarXiv:2602.04735v12026
FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents
Chiwei Zhu, Benfeng Xu, Mingxuan Du +4
cs.CLarXiv:2602.01566v22026
Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards
Kirill Pavlenko, Alexander Golubev, Simon Karasik +1
cs.LGcs.AIcs.CLarXiv:2602.10231v12026
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
cs.CLcs.AIcs.LGarXiv:2203.14371v12022
Towards Expert-Level Medical Question Answering with Large Language Models
Karan Singhal, Tao Tu, Juraj Gottweis +28
cs.CLcs.AIcs.LGarXiv:2305.09617v12023
Proxy Compression for Language Modeling
Lin Zheng, Xinyu Li, Qian Liu +2
cs.CLcs.LGarXiv:2602.04289v22026
Few-Step Diffusion Language Models via Trajectory Self-Distillation
Tunyu Zhang, Xinxi Zhang, Ligong Han +10
cs.CLcs.LGarXiv:2602.12262v42026
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
Lixiang Yan, Lele Sha, Linxuan Zhao +6
cs.CLcs.AIcs.CYarXiv:2303.13379v22023
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing
Brady Lund, Ting Wang, Nishith Reddy Mannuru +3
cs.CLcs.CYarXiv:2303.13367v22023
Effective Reasoning Chains Reduce Intrinsic Dimensionality
Archiki Prasad, Mandar Joshi, Kenton Lee +2
cs.CLcs.AIcs.LGarXiv:2602.09276v22026
LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space
Jinghui Zhang, Lang Gao, Ao Li +5
cs.CLcs.AIarXiv:2608.23124v12026
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Lei Wang, Wanyu Xu, Yihuai Lan +4
cs.CLarXiv:2305.04091v32023
MLS: A Large-Scale Multilingual Dataset for Speech Research
Vineel Pratap, Qiantong Xu, Anuroop Sriram +2
eess.AScs.CLcs.SDarXiv:2012.03411v22020
Reinforced Attention Learning
Bangzheng Li, Jianmo Ni, Chen Qu +5
cs.CLcs.CVcs.LGarXiv:2602.04884v22026
Prism: Spectral-Aware Block-Sparse Attention
Xinghao Wang, Pengyu Wang, Xiaoran Liu +4
cs.CLcs.AIcs.CVarXiv:2602.08426v22026
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
Hao Zhou, Minlie Huang, Tianyang Zhang +2
cs.CLcs.AIarXiv:1704.01074v42017
KV-CoRE: Benchmarking Data-Dependent Low-Rank Compressibility of KV-Caches in LLMs
Jian Chen, Zhuoran Wang, Jiayu Qin +6
cs.CLarXiv:2602.05929v22026
Uncertainty Drives Social Bias Changes in Quantized Large Language Models
Stanley Z. Hua, Sanae Lotfi, Irene Y. Chen
cs.CLarXiv:2602.06181v12026
C-Pack: Packed Resources For General Chinese Embeddings
Shitao Xiao, Zheng Liu, Peitian Zhang +3
cs.CLcs.AIcs.IRarXiv:2309.07597v52023
PAL: Program-aided Language Models
Luyu Gao, Aman Madaan, Shuyan Zhou +5
cs.CLcs.AIarXiv:2211.10435v22022
Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs
Luoyang Sun, Jiwen Jiang, Yifeng Ding +9
cs.LGcs.CLarXiv:2602.10377v12026
MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation
Taha Koleilat, Hojat Asgariandehkordi, Omid Nejati Manzari +3
cs.CVcs.CLarXiv:2602.20423v12026
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
Xin Xu, Clive Bai, Kai Yang +7
cs.CLarXiv:2602.12036v22026
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
Zhongzhi Li, Xuansheng Wu, Yijiang Li +2
cs.CLcs.AIarXiv:2602.10388v42026
Weight Decay Improves Language Model Plasticity
Tessa Han, Sebastian Bordt, Hanlin Zhang +1
cs.LGcs.AIcs.CLarXiv:2602.11137v22026
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
Xin Xu, Tong Yu, Xiang Chen +3
cs.AIcs.CLcs.LGarXiv:2602.11683v12026
Robustness of IR Models to Collection Growth
Emmanouil Georgios Lionis, Debasis Ganguly, Sean MacAvaney
cs.IRcs.CLarXiv:2608.23419v12026
SelFusion: Self-distillation for Diffusion Language Models
Hyeongsoo Lim, Jinyoung Kim, Eunseo Seo +2
cs.CLarXiv:2608.22898v12026
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre +1
cs.CLcs.AIcs.LGarXiv:1710.11041v22017
MAEB: Massive Audio Embedding Benchmark
Adnan El Assadi, Isaac Chung, Chenghao Xiao +15
cs.SDcs.AIcs.CLarXiv:2602.16008v12026
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Yunfei Chu, Jin Xu, Xiaohuan Zhou +5
eess.AScs.CLcs.LGarXiv:2311.07919v22023
Hidden in the Request: Explaining Unethical LLM Compliance through Token Relevance
Or Biton, Tomer Krichli, Itai Allouche +1
cs.AIcs.CLarXiv:2608.23264v12026
Modeling Distinct Human Interaction in Web Agents
Faria Huq, Zora Zhiruo Wang, Zhanqiu Guo +6
cs.CLcs.HCarXiv:2602.17588v42026
Sink-Aware Pruning for Diffusion Language Models
Aidar Myrzakhan, Tianyi Li, Bowei Guo +2
cs.CLcs.AIcs.LGarXiv:2602.17664v12026
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
Jie Lei, Linjie Li, Luowei Zhou +4
cs.CVcs.CLarXiv:2102.06183v12021
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
cs.CLcs.LGarXiv:1711.02173v22017
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu +3
cs.LGcs.AIcs.CLarXiv:2308.10144v32023
On the "Induction Bias" in Sequence Models
M. Reza Ebrahimi, Michaël Defferrard, Sunny Panchal +1
cs.LGcs.CLarXiv:2602.18333v22026
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer, Miguel Ballesteros, Wang Ling +2
cs.CLcs.LGcs.NEarXiv:1505.08075v12015
Nacrith: Neural Lossless Compression via Ensemble Context Modeling and High-Precision CDF Coding
Roberto Tacconelli
cs.ITcs.CLarXiv:2602.19626v22026

Computation and Language

Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation

Active Retrieval Augmented Generation

AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking

Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience

A Comparative Study on Transformer vs RNN in Speech Applications

Spanish Pre-trained BERT Model and Evaluation Data

SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?

Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains

RebuttalAgent: Strategic Persuasion in Academic Rebuttal via Theory of Mind

Mecellem Models: Turkish Models Trained from Scratch and Continually Pre-trained for the Legal Domain

Embodied Question Answering

ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas

Fact or Fiction: Verifying Scientific Claims

Marian: Fast Neural Machine Translation in C++

Designing and Interpreting Probes with Control Tasks

Beyond Correctness: Learning Robust Reasoning via Transfer

Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training

PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding

Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation

Bridging Online and Offline RL: Contextual Bandit Learning for Multi-Turn Code Generation

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards

MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Towards Expert-Level Medical Question Answering with Large Language Models

Proxy Compression for Language Modeling

Few-Step Diffusion Language Models via Trajectory Self-Distillation

Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review

ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing

Effective Reasoning Chains Reduce Intrinsic Dimensionality

LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

MLS: A Large-Scale Multilingual Dataset for Speech Research

Reinforced Attention Learning

Prism: Spectral-Aware Block-Sparse Attention

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

KV-CoRE: Benchmarking Data-Dependent Low-Rank Compressibility of KV-Caches in LLMs

Uncertainty Drives Social Bias Changes in Quantized Large Language Models

C-Pack: Packed Resources For General Chinese Embeddings

PAL: Program-aided Language Models

Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs

MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation

Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders

Weight Decay Improves Language Model Plasticity

ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces

Robustness of IR Models to Collection Growth

SelFusion: Self-distillation for Diffusion Language Models

Unsupervised Neural Machine Translation

MAEB: Massive Audio Embedding Benchmark

Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Hidden in the Request: Explaining Unethical LLM Compliance through Token Relevance

Modeling Distinct Human Interaction in Web Agents

Sink-Aware Pruning for Diffusion Language Models

Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

Synthetic and Natural Noise Both Break Neural Machine Translation

ExpeL: LLM Agents Are Experiential Learners

On the "Induction Bias" in Sequence Models

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Nacrith: Neural Lossless Compression via Ensemble Context Modeling and High-Precision CDF Coding