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.

Search paper metadata (including unsummarized papers)

8,821 to 8,880 of 11,259

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
Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
Ryan Liu, Dilip Arumugam, Cedegao E. Zhang +3
cs.AIcs.CLq-bio.NCarXiv:2602.22523v12026
Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction
Nils Schwager, Simon Münker, Alistair Plum +1
cs.CLcs.AIarXiv:2602.22752v12026
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Jian Tang, Meng Qu, Qiaozhu Mei
cs.CLcs.LGcs.NEarXiv:1508.00200v12015
Agentic Critical Training
Weize Liu, Minghui Liu, Sy-Tuyen Ho +3
cs.AIcs.CLcs.LGarXiv:2603.08706v12026
Emergence of Grounded Compositional Language in Multi-Agent Populations
Igor Mordatch, Pieter Abbeel
cs.AIcs.CLarXiv:1703.04908v22017
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
Ziwen Xu, Kewei Xu, Haoming Xu +8
cs.CLcs.AIcs.HCarXiv:2603.02578v22026
DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval
Maojun Sun, Yue Wu, Yifei Xie +5
cs.IRcs.AIcs.CLarXiv:2603.04743v12026
TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
Yinuo Wang, Mining Tan, Wenxiang Jiao +5
cs.AIcs.CLcs.LGarXiv:2601.04698v12026
Cross-Domain, Multi-Task Data-to-Text Generation without In-Domain Training Data
Yifei Song, Kun Efimov-Zhang, Claire Gardent
cs.CLcs.AIarXiv:2608.23391v12026
Cross-lingual Biography Enrichment via Claim Extraction and Alignment
Yifei Song, Ziyang Chen, Emil Sayilov +1
cs.CLcs.AIarXiv:2608.23390v12026
Efficient RLVR Training via Weighted Mutual Information Data Selection
Xinyu Zhou, Boyu Zhu, Haotian Zhang +2
cs.LGcs.CLarXiv:2603.01907v12026
Recursive Think-Answer Process for LLMs and VLMs
Byung-Kwan Lee, Youngchae Chee, Yong Man Ro
cs.CLarXiv:2603.02099v22026
Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategies
Artem Bisliouk, Elizaveta Nosova, Heiko Paulheim +2
cs.CLcs.IRarXiv:2608.23214v12026
Interactive Benchmarks
Baoqing Yue, Zihan Zhu, Yutong Han +6
cs.AIcs.CLcs.LGarXiv:2603.04737v42026
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
Jiyeon Kim, Hyunji Lee, Dylan Zhou +6
cs.CLarXiv:2603.07392v12026
Teaching Models to Express Their Uncertainty in Words
Stephanie Lin, Jacob Hilton, Owain Evans
cs.CLcs.AIcs.LGarXiv:2205.14334v22022
Credal Large Language Models for Semantic Commitment under Uncertainty
Shireen Kudukkil Manchingal, Sofiia Nikolenko, Fabio Cuzzolin
cs.CLcs.AIcs.LGarXiv:2608.23244v12026
Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing
Hanchi Sun, Yixin Liu, Yonghui Wu +1
cs.AIcs.CLarXiv:2603.11535v12026
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Mohammadreza Pourreza, Davood Rafiei
cs.CLcs.AIcs.DBarXiv:2304.11015v32023
DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
Maojun Sun, Yifei Xie, Yue Wu +5
cs.AIcs.CLarXiv:2601.13591v22026
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon +2
cs.IRcs.CLarXiv:2112.01488v32021
Libri-Light: A Benchmark for ASR with Limited or No Supervision
Jacob Kahn, Morgane Rivière, Weiyi Zheng +12
cs.CLcs.SDeess.ASarXiv:1912.07875v12019
Generating Radiology Reports via Memory-driven Transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang +1
cs.CLarXiv:2010.16056v22020
Learning Self-Correction in Vision-Language Models via Rollout Augmentation
Yi Ding, Ziliang Qiu, Bolian Li +1
cs.CVcs.CLcs.LGarXiv:2602.08503v22026
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
Qian Cao, Yahui Liu, Wei Bi +6
cs.CLcs.AIarXiv:2601.09609v12026
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns, Haotian Ye, Dan Klein +1
cs.CLcs.AIcs.LGarXiv:2212.03827v22022

Computation and Language

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

Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents

Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Agentic Critical Training

Emergence of Grounded Compositional Language in Multi-Agent Populations

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning

Cross-Domain, Multi-Task Data-to-Text Generation without In-Domain Training Data

Cross-lingual Biography Enrichment via Claim Extraction and Alignment

Efficient RLVR Training via Weighted Mutual Information Data Selection

Recursive Think-Answer Process for LLMs and VLMs

Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategies

Interactive Benchmarks

Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams

Teaching Models to Express Their Uncertainty in Words

Credal Large Language Models for Semantic Commitment under Uncertainty

Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Libri-Light: A Benchmark for ASR with Limited or No Supervision

Generating Radiology Reports via Memory-driven Transformer

Learning Self-Correction in Vision-Language Models via Rollout Augmentation

DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing

Discovering Latent Knowledge in Language Models Without Supervision