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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12,421 to 12,480 of 19,405

Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training
Meng Wang, Haohan Zhao, Wenzhuo Liu +7
cs.LGcs.CLarXiv:2607.01763v12026
ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents
Yupeng Su, Jiayi Tian, Zheng Zhang +1
cs.CLcs.AIcs.LGarXiv:2610.07863v12026
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
cs.AIcs.CLcs.HCarXiv:1702.07826v22017
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico +1
cs.CLcs.AIcs.LGarXiv:1906.01105v22019
Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
Yanqi Dai, Yuxiang Ji, Xiao Zhang +3
cs.AIcs.CLarXiv:2601.20614v12026
Towards Making the Most of BERT in Neural Machine Translation
Jiacheng Yang, Mingxuan Wang, Hao Zhou +4
cs.CLcs.LGarXiv:1908.05672v52019
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
eess.SPcs.CLcs.LGarXiv:1911.05659v22019
PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning
Taegyun Kim, Youngwook Ham, Jungwook Rhim +3
cs.CLcs.AIcs.CVarXiv:2609.04598v12026
DART: Distilling Autoregressive Reasoning to Silent Thought
Nan Jiang, Ziming Wu, De-Chuan Zhan +2
cs.CLarXiv:2506.11752v22025
Root Mean Square Layer Normalization
Biao Zhang, Rico Sennrich
cs.LGcs.CLstat.MLarXiv:1910.07467v12019
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau +1
cs.CLcs.LGarXiv:2011.01403v32020
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
Hai Ye, Xin Jiang, Zhunchen Luo +1
cs.CLarXiv:1802.08504v12018
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGarXiv:1603.06147v42016
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
Ming Shen, Raphael Shu, Anurag Pratik +4
cs.AIcs.CLarXiv:2505.16086v22025
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
Guanzhi Deng, Bo Li, Ronghao Chen +5
cs.AIcs.CLarXiv:2601.04823v62026
Visualizing and Understanding the Effectiveness of BERT
Yaru Hao, Li Dong, Furu Wei +1
cs.CLcs.LGarXiv:1908.05620v12019
Aligner: Efficient Alignment by Learning to Correct
Jiaming Ji, Boyuan Chen, Hantao Lou +6
cs.CLcs.AIcs.LGarXiv:2402.02416v52024
Grounding Language Models to Images for Multimodal Inputs and Outputs
Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried
cs.CLcs.AIcs.CVarXiv:2301.13823v42023
Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering
Chenglei Si, Yanzhe Zhang, Ryan Li +3
cs.CLcs.CVcs.CYarXiv:2403.03163v32024
EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?
Hongcheng Gao, Hailong Qu, Yu Lei +19
cs.AIcs.CLarXiv:2609.37686v12026
Context Memorization for Efficient Long Context Generation
Yasuyuki Okoshi, Hao Mark Chen, Guanxi Lu +3
cs.CLcs.AIarXiv:2605.18226v12026
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models
Wenkai Yang, Yankai Lin, Peng Li +2
cs.CLcs.LGarXiv:2110.07831v12021
LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding
Chenkai Xu, Yijie Jin, Jiajun Li +8
cs.CLarXiv:2512.16229v22025
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar +3
cs.CLarXiv:1905.05816v12019
Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
Zhu Zhang, Jixun Wang, Xiaoang Xu +6
cs.LGcs.AIcs.CLarXiv:2608.19181v12026
Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models
Haeun Jang, Hwan Chang, Hwanhee Lee
cs.CLarXiv:2601.03926v22026
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula +1
cs.CLarXiv:1907.10641v22019
Cross-Model Memory Transfer via Target-Side Reader Adaptation
Mingyuan Li, Guangsheng Yu, Xu Wang +1
cs.CLcs.AIarXiv:2608.17050v12026
LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding
Robert Chew, John Bollenbacher, Michael Wenger +2
cs.CLcs.AIcs.LGarXiv:2306.14924v12023
Valid Per-Field Selective Risk Control for Document Extraction: Three Failure Modes, a Validity Ladder, and When Conditioning Pays
Bhaskar Gurram
cs.LGcs.AIcs.CLarXiv:2608.14639v12026
Deep Unknown Intent Detection with Margin Loss
Ting-En Lin, Hua Xu
cs.CLcs.LGarXiv:1906.00434v12019
TexOCR: Advancing Document OCR Models for Compilable Page-to-LaTeX Reconstruction
Chengye Wang, Lin Fu, Zexi Kuang +1
cs.CLarXiv:2604.22880v12026
Traversing Knowledge Graphs in Vector Space
Kelvin Guu, John Miller, Percy Liang
cs.CLcs.AIcs.DBarXiv:1506.01094v22015
Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
Saibo Geng, Martin Josifoski, Maxime Peyrard +1
cs.CLcs.AIcs.LGarXiv:2305.13971v62023
Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Chi Han, Ziqi Wang, Han Zhao +1
cs.CLcs.AIcs.LGarXiv:2305.12766v32023
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
Wujiang Xu, Wentian Zhao, Zhenting Wang +6
cs.LGcs.CLarXiv:2509.22576v22025
Decision support from financial disclosures with deep neural networks and transfer learning
Mathias Kraus, Stefan Feuerriegel
cs.CLarXiv:1710.03954v12017
Personalizing Dialogue Agents via Meta-Learning
Zhaojiang Lin, Andrea Madotto, Chien-Sheng Wu +1
cs.CLcs.AIarXiv:1905.10033v12019
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Lu Ye, Ze Tao, Yong Huang +1
cs.LGcs.CLarXiv:2402.15220v42024
Embarrassingly Simple Self-Distillation Improves Code Generation
Ruixiang Zhang, Richard He Bai, Huangjie Zheng +3
cs.CLarXiv:2604.01193v22026
One Sample to Rule Them All: Extreme Data Efficiency in Multidiscipline Reasoning with Reinforcement Learning
Yiyuan Li, Zhen Huang, Yanan Wu +6
cs.LGcs.CLarXiv:2601.03111v22026
Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogates
Daehwan Ahn, Chengfeng Mao, Dokyun Lee
cs.CLcs.CYcs.LGarXiv:2608.29455v12026
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr +4
cs.LGcs.CLarXiv:2301.12050v22023
Towards Debiasing Sentence Representations
Paul Pu Liang, Irene Mengze Li, Emily Zheng +3
cs.CLcs.LGarXiv:2007.08100v12020
Can Machines Learn Morality? The Delphi Experiment
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula +12
cs.CLarXiv:2110.07574v22021
Data Science and Technology Towards AGI Part I: Tiered Data Management
Yudong Wang, Zixuan Fu, Hengyu Zhao +14
cs.AIcs.CLarXiv:2602.09003v12026
LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification
Hui Ye, Jing Zhang, Xiulong Yang +1
cs.CLcs.AIarXiv:2609.12915v12026
gpt-oss-120b & gpt-oss-20b Model Card
OpenAI, :, Sandhini Agarwal +124
cs.CLcs.AIarXiv:2508.10925v12025
Stress-Testing Capability Elicitation With Password-Locked Models
Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov +1
cs.LGcs.CLarXiv:2405.19550v12024
Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning
Woongyeong Yeo, Minki Kang, Chanuk Lee +3
cs.LGcs.AIcs.CLarXiv:2609.33781v12026
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Zhen Zhang, Xuehai He, Weixiang Yan +5
cs.CLcs.AIarXiv:2505.15778v12025
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
cs.CVcs.CLcs.LGarXiv:1912.08830v32019
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
Vineeth Dorna, Anmol Mekala, Wenlong Zhao +4
cs.CLarXiv:2506.12618v22025
Multimodal Transformer for Unaligned Multimodal Language Sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang +3
cs.CLarXiv:1906.00295v12019
When Wording Steers the Evaluation: Framing Bias in LLM judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang +2
cs.CLcs.AIarXiv:2601.13537v12026
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen, Julian Salazar
cs.CLcs.LGstat.MLarXiv:1910.05895v22019
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Aohan Zeng, Mingdao Liu, Rui Lu +4
cs.CLcs.AIcs.LGarXiv:2310.12823v22023
Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture
Yunsu Kim, Kaden Uhlig, Ashwin Purohit +10
cs.CLcs.AIarXiv:2608.28641v12026
OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions
Hang Yan, Fangzhi Xu, Qiushi Sun +14
cs.CLarXiv:2602.05843v22026
TokenRouter: Efficient Serving System for Token-Level LLM Routing
Tianyu Fu, Tengxuan Liu, Ruoxi Wang +4
cs.CLarXiv:2610.12242v12026

Computation and Language

Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training

ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

Training Neural Machine Translation To Apply Terminology Constraints

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation

Towards Making the Most of BERT in Neural Machine Translation

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning

DART: Distilling Autoregressive Reasoning to Silent Thought

Root Mean Square Layer Normalization

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models

Visualizing and Understanding the Effectiveness of BERT

Aligner: Efficient Alignment by Learning to Correct

Grounding Language Models to Images for Multimodal Inputs and Outputs

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?

Context Memorization for Efficient Long Context Generation

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding

Curriculum Learning for Domain Adaptation in Neural Machine Translation

Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning

Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models

WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Cross-Model Memory Transfer via Target-Side Reader Adaptation

LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Valid Per-Field Selective Risk Control for Document Extraction: Three Failure Modes, a Validity Ladder, and When Conditioning Pays

Deep Unknown Intent Detection with Margin Loss

TexOCR: Advancing Document OCR Models for Compilable Page-to-LaTeX Reconstruction

Traversing Knowledge Graphs in Vector Space

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning

Understanding Emergent In-Context Learning from a Kernel Regression Perspective

EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

Decision support from financial disclosures with deep neural networks and transfer learning

Personalizing Dialogue Agents via Meta-Learning

ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Embarrassingly Simple Self-Distillation Improves Code Generation

One Sample to Rule Them All: Extreme Data Efficiency in Multidiscipline Reasoning with Reinforcement Learning

Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogates

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling

Towards Debiasing Sentence Representations

Can Machines Learn Morality? The Delphi Experiment

Data Science and Technology Towards AGI Part I: Tiered Data Management

LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification

gpt-oss-120b & gpt-oss-20b Model Card

Stress-Testing Capability Elicitation With Password-Locked Models

Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics

Multimodal Transformer for Unaligned Multimodal Language Sequences

When Wording Steers the Evaluation: Framing Bias in LLM judges

Transformers without Tears: Improving the Normalization of Self-Attention

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions

TokenRouter: Efficient Serving System for Token-Level LLM Routing