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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9,181 to 9,240 of 11,259

Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay, Mostafa Dehghani, Samira Abnar +7
cs.LGcs.AIcs.CLarXiv:2011.04006v12020
Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph, Deniz Yuret, Jonathan May +1
cs.CLarXiv:1604.02201v12016
Revisiting Text Ranking in Deep Research
Chuan Meng, Litu Ou, Sean MacAvaney +1
cs.IRcs.AIcs.CLarXiv:2602.21456v22026
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Shuo Ren, Daya Guo, Shuai Lu +7
cs.SEcs.CLarXiv:2009.10297v22020
LoopRPT: Reinforcement Pre-Training for Looped Language Models
Guo Tang, Shixin Jiang, Heng Chang +6
cs.CLarXiv:2603.19714v12026
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
Alice Coucke, Alaa Saade, Adrien Ball +9
cs.CLcs.NEarXiv:1805.10190v32018
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong +2
cs.CLcs.LGarXiv:1711.02281v22017
Multimodal Chain-of-Thought Reasoning in Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li +3
cs.CLcs.AIcs.CVarXiv:2302.00923v52023
ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
Jovana Kondic, Pengyuan Li, Dhiraj Joshi +24
cs.CVcs.AIcs.CLarXiv:2603.27064v22026
A C-LSTM Neural Network for Text Classification
Chunting Zhou, Chonglin Sun, Zhiyuan Liu +1
cs.CLarXiv:1511.08630v22015
Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?
Richard J. Young
cs.CLcs.AIarXiv:2603.22582v12026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
Binghai Wang, Yantao Liu, Yuxuan Liu +13
cs.CLarXiv:2602.04649v12026
Grammar as a Foreign Language
Oriol Vinyals, Lukasz Kaiser, Terry Koo +3
cs.CLcs.LGstat.MLarXiv:1412.7449v32014
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu, Peng Zhou, Zhe Zhao +4
cs.CLcs.LGarXiv:1909.07606v12019
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
Wei Zhou, Jun Zhou, Haoyu Wang +16
cs.DBcs.AIcs.CLarXiv:2601.17058v12026
From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
Or Shafran, Shaked Ronen, Omri Fahn +3
cs.CLarXiv:2602.02464v12026
LatentMem: Customizing Latent Memory for Multi-Agent Systems
Muxin Fu, Xiangyuan Xue, Yafu Li +5
cs.CLcs.LGcs.MAarXiv:2602.03036v22026
ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
Huanxuan Liao, Zhongtao Jiang, Yupu Hao +6
cs.CVcs.AIcs.CLarXiv:2603.28610v22026
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong +1
cs.CLcs.AIcs.LGarXiv:1708.00107v22017
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari +10
cs.CLcs.AIcs.IRarXiv:2310.03714v12023
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
Teng Xiao, Yige Yuan, Hamish Ivison +6
cs.LGcs.CLarXiv:2603.11327v22026
CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
Zi-Han Wang, Lam Nguyen, Zhengyang Zhao +4
cs.AIcs.CLarXiv:2603.11863v22026
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi, Yoav Goldberg
cs.CLcs.LGarXiv:2004.03685v32020
Controlled Self-Evolution for Algorithmic Code Optimization
Tu Hu, Ronghao Chen, Shuo Zhang +9
cs.CLcs.AIcs.NEarXiv:2601.07348v52026
When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents
Yuting Ning, Jaylen Jones, Zhehao Zhang +5
cs.CLarXiv:2602.08995v22026
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon Team
cs.CLarXiv:2405.09818v22024
Towards Reasoning in Large Language Models: A Survey
Jie Huang, Kevin Chen-Chuan Chang
cs.CLcs.AIarXiv:2212.10403v22022
Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
Qihua Dong, Kuo Yang, Lin Ju +6
cs.CVcs.AIcs.CLarXiv:2602.23898v12026
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning
Shoubin Yu, Yue Zhang, Zun Wang +4
cs.CVcs.AIcs.CLarXiv:2602.08236v22026
MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
Arushi Goel, Sreyan Ghosh, Vatsal Agarwal +16
cs.CLcs.CVarXiv:2603.14145v22026
Language-driven Semantic Segmentation
Boyi Li, Kilian Q. Weinberger, Serge Belongie +2
cs.CVcs.CLcs.LGarXiv:2201.03546v22022
Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
Ummar Abbas, Mourad Ouzzani, Mohamed Y. Eltabakh +7
cs.CLarXiv:2603.08501v32026
Automatic Detection of Fake News
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre +1
cs.CLarXiv:1708.07104v12017
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
Zhengzhao Ma, Xueru Wen, Boxi Cao +6
cs.LGcs.AIcs.CLarXiv:2603.09117v32026
DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning
Zhongwei Wan, Yun Shen, Zhihao Dou +9
cs.LGcs.CLarXiv:2602.19895v12026
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Xingyao Wang, Boxuan Li, Yufan Song +21
cs.SEcs.AIcs.CLarXiv:2407.16741v32024
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
Lecheng Yan, Ruizhe Li, Guanhua Chen +5
cs.LGcs.CLarXiv:2601.11061v22026
dVoting: Fast Voting for dLLMs
Sicheng Feng, Zigeng Chen, Xinyin Ma +2
cs.CLcs.AIarXiv:2602.12153v12026
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi Yuan +4
cs.CLcs.AIarXiv:1611.09830v32016
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model
Haichao Zhang, Yijiang Li, Shwai He +5
cs.CVcs.AIcs.CLarXiv:2603.22281v22026
LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
Jianing Wang, Jianfei Zhang, Qi Guo +24
cs.AIcs.CLarXiv:2603.21065v12026
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
Weihao Xuan, Qingcheng Zeng, Heli Qi +3
cs.CLarXiv:2601.07264v12026
PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
Jianshu Zhang, Chengxuan Qian, Haosen Sun +4
cs.CVcs.CLarXiv:2601.15224v22026
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun, Zhuang Liu, Anna Bair +1
cs.CLcs.AIcs.LGarXiv:2306.11695v32023
Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray +1
cs.CLcs.PLarXiv:2103.06333v22021
Ragas: Automated Evaluation of Retrieval Augmented Generation
Shahul Es, Jithin James, Luis Espinosa-Anke +1
cs.CLarXiv:2309.15217v22023
Multi-Vector Index Compression in Any Modality
Hanxiang Qin, Alexander Martin, Rohan Jha +3
cs.IRcs.CLcs.CVarXiv:2602.21202v12026
RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
Haonan Bian, Zhiyuan Yao, Sen Hu +7
cs.CLcs.AIarXiv:2601.06966v12026
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies, Claudia Shi +29
cs.AIcs.CLcs.LGarXiv:2307.15217v22023
Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
Wenxuan Ding, Nicholas Tomlin, Greg Durrett
cs.CLcs.AIarXiv:2602.16699v32026
Deduplicating Training Data Makes Language Models Better
Katherine Lee, Daphne Ippolito, Andrew Nystrom +4
cs.CLcs.LGarXiv:2107.06499v22021
Training Language Models via Neural Cellular Automata
Dan Lee, Seungwook Han, Akarsh Kumar +1
cs.LGcs.AIcs.CLarXiv:2603.10055v12026
e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings
Haonan Chen, Sicheng Gao, Radu Timofte +2
cs.CLcs.AIcs.CVarXiv:2601.03666v22026
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu +8
cs.AIcs.CLcs.LGarXiv:2301.13688v22023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding, Yulin Chen, Bokai Xu +6
cs.CLcs.AIarXiv:2305.14233v12023
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
He Du, Qiming Ge, Jiakai Hu +18
cs.CLcs.LGarXiv:2603.28342v22026
Quantifying Memorization Across Neural Language Models
Nicholas Carlini, Daphne Ippolito, Matthew Jagielski +3
cs.LGcs.CLarXiv:2202.07646v32022
Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
Shyam Sundhar Ramesh, Xiaotong Ji, Matthieu Zimmer +5
cs.CLcs.AIcs.LGarXiv:2602.05547v32026
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation
Dong Yu, Morten Kolbæk, Zheng-Hua Tan +1
cs.CLcs.LGcs.SDarXiv:1607.00325v22016
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin, Jonathan Herzig, Jonathan Berant
cs.CLcs.LGarXiv:2112.08633v22021

Computation and Language

Long Range Arena: A Benchmark for Efficient Transformers

Transfer Learning for Low-Resource Neural Machine Translation

Revisiting Text Ranking in Deep Research

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

LoopRPT: Reinforcement Pre-Training for Looped Language Models

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Non-Autoregressive Neural Machine Translation

Multimodal Chain-of-Thought Reasoning in Language Models

ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding

A C-LSTM Neural Network for Text Classification

Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?

Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models

Grammar as a Foreign Language

K-BERT: Enabling Language Representation with Knowledge Graph

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

From Directions to Regions: Decomposing Activations in Language Models via Local Geometry

LatentMem: Customizing Latent Memory for Multi-Agent Systems

ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning

Learned in Translation: Contextualized Word Vectors

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Meta-Reinforcement Learning with Self-Reflection for Agentic Search

CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

Controlled Self-Evolution for Algorithmic Code Optimization

When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Towards Reasoning in Large Language Models: A Survey

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos

Language-driven Semantic Segmentation

Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA

Automatic Detection of Fake News

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards

DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs

dVoting: Fast Voting for dLLMs

NewsQA: A Machine Comprehension Dataset

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models

A Simple and Effective Pruning Approach for Large Language Models

Unified Pre-training for Program Understanding and Generation

Ragas: Automated Evaluation of Retrieval Augmented Generation

Multi-Vector Index Compression in Any Modality

RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents

Deduplicating Training Data Makes Language Models Better

Training Language Models via Neural Cellular Automata

e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization

Quantifying Memorization Across Neural Language Models

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks

Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

Learning To Retrieve Prompts for In-Context Learning