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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10,321 to 10,380 of 11,332

Unsupervised Data Augmentation for Consistency Training
Qizhe Xie, Zihang Dai, Eduard Hovy +2
cs.LGcs.AIcs.CLarXiv:1904.12848v62019
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
Junlin Yang, Che Jiang, Yu Fu +21
cs.CLarXiv:2607.28568v12026
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu, Ryan Kiros, Richard Zemel +4
cs.CVcs.CLarXiv:1506.06724v12015
Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search
Jialin Lu, Soonho Kong, Rodrigo Stehling +4
cs.LOcs.AIcs.CLarXiv:2605.20244v22026
Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short
Han Zhou, Adam X. Yang, Laurence Aitchison +2
cs.LGcs.AIcs.CLarXiv:2606.09380v12026
BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling
Gianluca Barmina, Annemette Broch Pirchert, Andrea Blasi Núñez +2
cs.LGcs.CLarXiv:2606.09707v12026
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders
Nikita Koriagin, Georgii Aparin, Nikita Balagansky +1
cs.LGcs.AIcs.CLarXiv:2606.10029v12026
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
Yunho Choi, Jongwon Lim, Woojin Ahn +3
cs.LGcs.AIcs.CLarXiv:2605.07579v22026
Attention-Based Models for Speech Recognition
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk +2
cs.CLcs.LGcs.NEarXiv:1506.07503v12015
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
Hyeongwon Jang, Gyouk Chu, Changhun Kim +3
cs.LGcs.AIcs.CLarXiv:2606.09030v12026
Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John R. Murphy, Willie Boag +4
cs.CLarXiv:1904.03323v32019
PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models
Gianluca Barmina, Federico Torrielli, Sven Harms +7
cs.CLarXiv:2606.09697v12026
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett +2
cs.CLarXiv:1510.03055v32015
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma, Eduard Hovy
cs.LGcs.CLstat.MLarXiv:1603.01354v52016
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
Tong Zheng, Haolin Liu, Chengsong Huang +10
cs.CLarXiv:2605.08083v22026
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs
Wanli Yang, Hongyu Zang, Junwei Zhang +5
cs.CLarXiv:2605.07153v12026
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush, Sumit Chopra, Jason Weston
cs.CLcs.AIarXiv:1509.00685v22015
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon +4
cs.CVcs.CLcs.GRarXiv:2208.01618v12022
LLaVA-OneVision: Easy Visual Task Transfer
Bo Li, Yuanhan Zhang, Dong Guo +8
cs.CVcs.AIcs.CLarXiv:2408.03326v32024
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao, Stella Biderman, Sid Black +9
cs.CLarXiv:2101.00027v12020
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie +1
cs.LGcs.CLstat.MLarXiv:1902.10197v12019
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou, Cicero Nogueira dos santos +2
cs.CLarXiv:1602.06023v52016
The Embedder's Dilemma: LLMs Are Better, but at What Cost?
Adnan El Assadi, Niklas Muennighoff, Jinhyuk Lee
cs.CLarXiv:2608.12875v12026
Self-Attention with Relative Position Representations
Peter Shaw, Jakob Uszkoreit, Ashish Vaswani
cs.CLarXiv:1803.02155v22018
Prompt-to-Prompt Image Editing with Cross Attention Control
Amir Hertz, Ron Mokady, Jay Tenenbaum +3
cs.CVcs.CLcs.GRarXiv:2208.01626v12022
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Yang Liu, Dan Iter, Yichong Xu +3
cs.CLcs.AIarXiv:2303.16634v32023
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten +3
cs.CVcs.CLcs.LGarXiv:1612.06890v12016
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen, Hao Fang, Tsung-Yi Lin +4
cs.CVcs.CLarXiv:1504.00325v22015
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Maarten Grootendorst
cs.CLarXiv:2203.05794v12022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
cs.CLarXiv:2211.05100v42022
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Tan, Mohit Bansal
cs.CLcs.CVcs.LGarXiv:1908.07490v32019
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin, Angela Fan, Michael Auli +1
cs.CLarXiv:1612.08083v32016
Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization
Qian Kou, Xiaofeng Shi, Xiaosong Qiu +1
cs.CLcs.AIarXiv:2608.20281v12026
Reformer: The Efficient Transformer
Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya
cs.LGcs.CLstat.MLarXiv:2001.04451v22020
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Y. Guan, Barret Zoph +2
cs.LGcs.CLcs.CVarXiv:1802.03268v22018
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich, Barry Haddow, Alexandra Birch
cs.CLarXiv:1511.06709v42015
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
Seongjae Kang, Taehyung Yu, Sung Ju Hwang
cs.AIcs.CLcs.LGarXiv:2608.19861v12026
Cross-lingual Language Model Pretraining
Guillaume Lample, Alexis Conneau
cs.CLarXiv:1901.07291v12019
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey +8
cs.LGcs.CLstat.MLarXiv:2007.14062v22020
FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving
Qihang Fan, Huaibo Huang, Zhiying Wu +2
cs.CLarXiv:2608.19758v12026
SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?
Zhipeng Xu, Jiahao Lu, Yining Zheng +2
cs.CLcs.SEarXiv:2608.19799v12026
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri +3
cs.CLarXiv:1909.08053v42019
Locating and Editing Factual Associations in GPT
Kevin Meng, David Bau, Alex Andonian +1
cs.CLcs.LGarXiv:2202.05262v52022
Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning
Mena Attia, Mona Diab, Thamar Solorio
cs.CLarXiv:2608.18361v12026
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn, Anthony Brohan, Noah Brown +42
cs.ROcs.CLcs.LGarXiv:2204.01691v22022
What Makes Software Issue Resolution Tasks Difficult for Agents?
Ebtesam Al-Haque, Brittany Johnson
cs.SEcs.AIcs.CLarXiv:2608.18280v12026
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Weixin Liang, Yuhui Zhang, Yongchan Kwon +2
cs.CLcs.AIcs.CVarXiv:2203.02053v22022
Summaries:한국어
MemFuse: Multi-Source Memory Fusion from Fragmented Observations
Chao Li, Yuanfa Li, Wenhao Wu +3
cs.CLcs.AIarXiv:2608.18704v12026
$R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets
Peisong Wang, Zhiwei Ma, Bowen Liu +6
cs.CLarXiv:2608.16033v12026
Summaries:한국어
Token Distribution versus Data Volume: Domain Balancing in Multi-Domain Meeting Summarisation
Ashima Sood, Bryan Gardiner, Joan Condell
cs.CLarXiv:2608.15935v12026
VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding
Fan Zhang, Guangming Yao, Jinyang Wu +6
cs.CVcs.CLarXiv:2608.14718v12026
MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement
Lushi Pu, Weiming Zhang, Xinheng Xie +7
cs.AIcs.CLarXiv:2608.14221v12026
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
Tianyi Men, Zhuoran Jin, Kang Liu +1
cs.CLcs.AIcs.LGarXiv:2607.24720v12026
Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness
Xilun Chen, Zhaleh Feizollahi, Ross Goodwin +5
cs.CLarXiv:2607.19322v22026
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
Zhekai Chen, Chengqi Duan, Kaiyue Sun +4
cs.CLarXiv:2607.08768v12026
Do Thinking Tokens Help with Safety?
Narutatsu Ri, Abhishek Panigrahi, Sanjeev Arora
cs.LGcs.AIcs.CLarXiv:2606.25013v12026
Summaries:한국어
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
Shiding Zhu, Yudi Qi, Yajie Wang +6
cs.CLarXiv:2606.24428v12026
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
Jiacheng Chen, Xinyu Zhang, Shunkai Zhang +20
cs.LGcs.AIcs.CLarXiv:2606.13473v12026
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +307
cs.AIcs.CLcs.LGarXiv:2606.05405v22026
TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation
Xinkai Ma, Zhiqi Bai, Dingling Zhang +21
cs.CLarXiv:2606.02320v22026

Computation and Language

Unsupervised Data Augmentation for Consistency Training

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search

Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short

BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling

Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

Attention-Based Models for Speech Recognition

TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs

Publicly Available Clinical BERT Embeddings

PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models

A Diversity-Promoting Objective Function for Neural Conversation Models

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs

A Neural Attention Model for Abstractive Sentence Summarization

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

LLaVA-OneVision: Easy Visual Task Transfer

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

The Embedder's Dilemma: LLMs Are Better, but at What Cost?

Self-Attention with Relative Position Representations

Prompt-to-Prompt Image Editing with Cross Attention Control

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Microsoft COCO Captions: Data Collection and Evaluation Server

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Language Modeling with Gated Convolutional Networks

Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization

Reformer: The Efficient Transformer

Efficient Neural Architecture Search via Parameter Sharing

Improving Neural Machine Translation Models with Monolingual Data

PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents

Cross-lingual Language Model Pretraining

Big Bird: Transformers for Longer Sequences

FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving

SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Locating and Editing Factual Associations in GPT

Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

What Makes Software Issue Resolution Tasks Difficult for Agents?

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

MemFuse: Multi-Source Memory Fusion from Fragmented Observations

$R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets

Token Distribution versus Data Volume: Domain Balancing in Multi-Domain Meeting Summarisation

VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding

MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement

The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation

Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness

UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks

Do Thinking Tokens Help with Safety?

Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning

MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling

Agents' Last Exam

TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation