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)

4,321 to 4,380 of 11,252

VideoChat: Chat-Centric Video Understanding
KunChang Li, Yinan He, Yi Wang +6
cs.CVcs.CLarXiv:2305.06355v22023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur, Stephanie Hyland, Qianchu Liu +13
cs.CVcs.CLarXiv:2301.04558v22023
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
stat.MEcs.AIcs.CLarXiv:2210.08964v52022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian +6
cs.ROcs.AIcs.CLarXiv:2209.11302v12022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
Alexis Conneau, Min Ma, Simran Khanuja +6
cs.CLcs.LGcs.SDarXiv:2205.12446v12022
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang +17
cs.CLcs.AIcs.LGarXiv:2203.02155v12022
Summaries:한국어
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans +6
cs.CLcs.AIarXiv:2201.11903v62022
LaMDA: Language Models for Dialog Applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall +57
cs.CLcs.AIarXiv:2201.08239v32022
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen, Chengyi Wang, Zhengyang Chen +16
cs.CLcs.SDeess.ASarXiv:2110.13900v52021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu +3
cs.CLcs.AIcs.LGarXiv:2107.13586v12021
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi +3
cs.CVcs.CLarXiv:2107.06912v32021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho +2
cs.LGcs.AIcs.CLarXiv:2107.03006v32021
InfographicVQA
Minesh Mathew, Viraj Bagal, Rubèn Pérez Tito +3
cs.CVcs.CLarXiv:2104.12756v22021
Identifying and Controlling Important Neurons in Neural Machine Translation
Anthony Bau, Yonatan Belinkov, Hassan Sajjad +3
cs.CLarXiv:1811.01157v12018
Inference-Time Scaling for Generalist Reward Modeling
Zijun Liu, Peiyi Wang, Runxin Xu +5
cs.CLcs.AIcs.LGarXiv:2504.02495v32025
Counterfactual VQA: A Cause-Effect Look at Language Bias
Yulei Niu, Kaihua Tang, Hanwang Zhang +3
cs.CVcs.CLarXiv:2006.04315v42020
Chain of Draft: Thinking Faster by Writing Less
Silei Xu, Wenhao Xie, Lingxiao Zhao +1
cs.CLarXiv:2502.18600v22025
WebSailor: Navigating Super-human Reasoning for Web Agent
Kuan Li, Zhongwang Zhang, Huifeng Yin +16
cs.CLcs.AIarXiv:2507.02592v12025
Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
Liwei Jiang, Yuanjun Chai, Margaret Li +7
cs.CLarXiv:2510.22954v12025
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li, Shouling Ji, Tianyu Du +2
cs.CRcs.CLcs.LGarXiv:1812.05271v12018
Entropy-Aware On-Policy Distillation of Language Models
Woogyeol Jin, Taywon Min, Yongjin Yang +5
cs.LGcs.CLarXiv:2603.07079v32026
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi +2
cs.CLcs.AIarXiv:2502.14802v22025
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
cs.LGcs.AIcs.CLarXiv:2109.12948v12021
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral, Sheila Castilho, Ke Hu +1
cs.CLarXiv:1808.10432v12018
IDEEA: training-free Input-Dependent stEEring via Activation cluster matching
Zheng Wang, Muchen Li, Renjie Liao +1
cs.CLcs.LGarXiv:2609.02089v12026
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
MiniMax, :, Aili Chen +125
cs.CLcs.LGarXiv:2506.13585v12025
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young, Devamanyu Hazarika, Soujanya Poria +1
cs.CLarXiv:1708.02709v82017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz +4
cs.LGcs.CLcs.NEarXiv:1701.06538v12017
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
Venkata Sasank Pagolu, Kamal Nayan Reddy Challa, Ganapati Panda +1
cs.IRcs.CLcs.SIarXiv:1610.09225v12016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev +1
cs.CLarXiv:1606.05250v32016
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
Hamid Palangi, Li Deng, Yelong Shen +5
cs.CLcs.IRcs.LGarXiv:1502.06922v32015
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGcs.NEarXiv:1409.0473v72014
Home Location Identification of Twitter Users
Jalal Mahmud, Jeffrey Nichols, Clemens Drews
cs.SIcs.CLcs.CYarXiv:1403.2345v12014
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Jingyi Zhang, Jiaxing Huang, Huanjin Yao +4
cs.AIcs.CLcs.CVarXiv:2503.12937v22025
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Zihan Wang, Kangrui Wang, Qineng Wang +15
cs.LGcs.AIcs.CLarXiv:2504.20073v22025
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
LASA Team, Weiwen Xu, Hou Pong Chan +16
cs.CLcs.AIcs.CVarXiv:2506.07044v42025
MemoryWalker: Stop Training Agents on Contexts They Never Saw
Zinco J, Xunjie Zhu, Shen Huang +3
cs.LGcs.CLarXiv:2609.00865v12026
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, Hieu Hoang
cs.CLarXiv:1610.01108v32016
A Fundamental Algorithm for Dependency Parsing (With Corrections)
Michael A. Covington
cs.CLarXiv:2510.19996v12025
GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
Run Luo, Lu Wang, Wanwei He +3
cs.CVcs.CLcs.HCarXiv:2504.10458v42025
SWE-smith: Scaling Data for Software Engineering Agents
John Yang, Kilian Lieret, Carlos E. Jimenez +7
cs.SEcs.AIcs.CLarXiv:2504.21798v22025
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Xumeng Wen, Zihan Liu, Shun Zheng +9
cs.AIcs.CLarXiv:2506.14245v22025
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt, Aaron Mueller, Leshem Choshen +8
cs.CLarXiv:2504.08165v12025
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu +3
cs.CLarXiv:2110.01786v32021
TokenSkip: Controllable Chain-of-Thought Compression in LLMs
Heming Xia, Chak Tou Leong, Wenjie Wang +2
cs.CLcs.AIarXiv:2502.12067v32025
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
Benjamin Muller, Antonis Anastasopoulos, Benoît Sagot +1
cs.CLarXiv:2010.12858v22020
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo, Kaiyan Zhang, Li Sheng +13
cs.CLcs.LGarXiv:2504.16084v32025
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
Yuanzhe Hu, Yu Wang, Julian McAuley
cs.CLcs.AIarXiv:2507.05257v42025
Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis
Bing He, Caleb Ziems, Sandeep Soni +3
cs.SIcs.CLcs.CYarXiv:2005.12423v22020
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
Zhenyi Shen, Hanqi Yan, Linhai Zhang +3
cs.CLarXiv:2502.21074v32025
Quit While You're Ahead: Quit for Efficient Candidate Generation in Machine Translation Reranking
Guangyu Chen, Boxuan Lyu, Hidetaka Kamigaito +2
cs.CLarXiv:2609.00588v22026
Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu, Yelong Shen, Kevin Duh +1
cs.CLarXiv:1712.03556v22017
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao +4
cs.LGcs.AIcs.CLarXiv:2502.02013v22025
BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
Zijian Chen, Xueguang Ma, Shengyao Zhuang +17
cs.CLcs.IRarXiv:2508.06600v12025
Does task decomposition improve automatic NLG evaluation?
Sebastian Steindl, Nikos Voskarides, Alberto Gasparin +1
cs.CLarXiv:2609.01139v12026
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
Qiguang Chen, Libo Qin, Jinhao Liu +7
cs.AIcs.CLarXiv:2503.09567v52025
Post-hoc Alignment of LLM-judges to Human Judgment Distribution
Sebastian Steindl, Nikos Voskarides, Alberto Gasparin +1
cs.CLarXiv:2609.01073v12026
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Shih-Yang Liu, Xin Dong, Ximing Lu +10
cs.CLcs.AIcs.LGarXiv:2601.05242v12026
CHARM: Character Hallucination for Multicultural Role Play Benchmark
Sunkyung Han, Nahyeon Park, Gaeun Seo +2
cs.CLcs.AIarXiv:2609.01352v12026
WorldBench: Culturally Grounded Benchmark for Multilingual Agents
Leonardo Ranaldi, Sherrie Shen, Jushi Kai +1
cs.AIcs.CLarXiv:2609.01056v12026

Computation and Language

VideoChat: Chat-Centric Video Understanding

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Training language models to follow instructions with human feedback

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

LaMDA: Language Models for Dialog Applications

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

From Show to Tell: A Survey on Deep Learning-based Image Captioning

Structured Denoising Diffusion Models in Discrete State-Spaces

InfographicVQA

Identifying and Controlling Important Neurons in Neural Machine Translation

Inference-Time Scaling for Generalist Reward Modeling

Counterfactual VQA: A Cause-Effect Look at Language Bias

Chain of Draft: Thinking Faster by Writing Less

WebSailor: Navigating Super-human Reasoning for Web Agent

Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)

TextBugger: Generating Adversarial Text Against Real-world Applications

Entropy-Aware On-Policy Distillation of Language Models

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Understanding and Overcoming the Challenges of Efficient Transformer Quantization

Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

IDEEA: training-free Input-Dependent stEEring via Activation cluster matching

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Recent Trends in Deep Learning Based Natural Language Processing

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

Neural Machine Translation by Jointly Learning to Align and Translate

Home Location Identification of Twitter Users

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

MemoryWalker: Stop Training Agents on Contexts They Never Saw

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

A Fundamental Algorithm for Dependency Parsing (With Corrections)

GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

SWE-smith: Scaling Data for Software Engineering Agents

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models

TTRL: Test-Time Reinforcement Learning

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Quit While You're Ahead: Quit for Efficient Candidate Generation in Machine Translation Reranking

Stochastic Answer Networks for Machine Reading Comprehension

Layer by Layer: Uncovering Hidden Representations in Language Models

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Does task decomposition improve automatic NLG evaluation?

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Post-hoc Alignment of LLM-judges to Human Judgment Distribution

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

CHARM: Character Hallucination for Multicultural Role Play Benchmark

WorldBench: Culturally Grounded Benchmark for Multilingual Agents