Artificial Intelligence

Papers filed under cs.AI 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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18,961 to 19,020 of 27,827

Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
cs.CLcs.AIcs.LGarXiv:1808.10792v22018
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner, Timothy Lillicrap, Jimmy Ba +1
cs.LGcs.AIcs.ROarXiv:1912.01603v32019
A Hybrid Predictive Ensemble of Machine Learning and Deep Neural Networks for Early Cardiovascular Disease Risk Assessment
Balaji Venkateswaran
cs.AIcs.LGarXiv:2609.05146v12026
TileMix: Tile-Centric Mixed-Precision Attention for LLM Inference Acceleration
Hanzhi Zhang, Qiao Zhang, Qinglei Cao +4
cs.AIarXiv:2608.17336v12026
PUBG Ally: A Conversational Embodied Agent as an AI Teammate
Beomsoo Kim, Byeongju Kim, Dohyun Kim +21
cs.AIcs.CLcs.HCarXiv:2609.29837v12026
Quantifying Attention Flow in Transformers
Samira Abnar, Willem Zuidema
cs.LGcs.AIcs.CLarXiv:2005.00928v22020
Croissant: A Metadata Format for ML-Ready Datasets
Mubashara Akhtar, Omar Benjelloun, Costanza Conforti +28
cs.LGcs.AIcs.DBarXiv:2403.19546v32024
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi, Qihao Zhou, Lei Lei +1
cs.LGcs.AIarXiv:2108.11887v22021
Torchattacks: A PyTorch Repository for Adversarial Attacks
Hoki Kim
cs.LGcs.AIcs.CRarXiv:2010.01950v32020
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
Hung-Yueh Chiang, Chi-Chih Chang, Yu-Chen Lu +4
cs.LGcs.AIarXiv:2512.03383v32025
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Jiechao Xiong, Qing Wang, Zhuoran Yang +7
cs.LGcs.AIstat.MLarXiv:1810.06394v12018
Testing Interchangeability in LLM Agent Teams
Jianxin Gao, Tianyi Yu, Linna Deng +2
cs.AIcs.MAarXiv:2609.05279v12026
Tightening LP Relaxations for MAP using Message Passing
David Sontag, Talya Meltzer, Amir Globerson +2
cs.DScs.AIcs.CEarXiv:1206.3288v12012
Learning to Delegate for Large-scale Vehicle Routing
Sirui Li, Zhongxia Yan, Cathy Wu
cs.LGcs.AIarXiv:2107.04139v22021
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
Mehar Bhatia, Sahithya Ravi, Aditya Chinchure +2
cs.CLcs.AIcs.CVarXiv:2407.00263v12024
Exploring the Role of LLMs in HPC Programming: A Survey
Strahinja Ljaljevic, Josep Jorba, Sergio Iserte
cs.DCcs.AIarXiv:2608.26110v12026
Markov Decision Processes with Continuous Side Information
Aditya Modi, Nan Jiang, Satinder Singh +1
stat.MLcs.AIcs.LGarXiv:1711.05726v12017
TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance
Elena Bruches, Vadim Alperovich, Dari Baturova +8
cs.SEcs.AIarXiv:2601.18241v12026
Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations
Priyanka Mary Mammen, Emil Joswin, Srujananjali Medicherla
cs.AIarXiv:2609.09448v12026
Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
Jiayi Xu, Di He, Guolin Ke
cs.CVcs.AIarXiv:2606.27978v12026
Discrete Diffusion Language Models for Interactive Radiology Report Drafting
Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge +1
cs.AIcs.LGarXiv:2607.01436v12026
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara, Xuezhou Zhang, Wen Sun
cs.LGcs.AIstat.MLarXiv:2110.04652v32021
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
Honglin Lin, Chonghan Qin, Zheng Liu +7
cs.CVcs.AIarXiv:2601.17027v12026
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas, Pierre Fournier, Olivier Sigaud +2
cs.AIarXiv:1810.06284v52018
Supermartingale Certificates for Parametric MDPs
Kaushik Mallik, Ðorđe Žikelić
cs.LOcs.AIcs.SYarXiv:2609.12715v12026
Guided Self-Evolving LLMs with Minimal Human Supervision
Wenhao Yu, Zhenwen Liang, Chengsong Huang +4
cs.AIcs.CLcs.LGarXiv:2512.02472v12025
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention
Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara
cs.SDcs.AIcs.LGarXiv:1710.08969v22017
Approaching Human-Level Forecasting with Language Models
Danny Halawi, Fred Zhang, Chen Yueh-Han +1
cs.LGcs.AIcs.CLarXiv:2402.18563v12024
Church: a language for generative models
Noah Goodman, Vikash Mansinghka, Daniel M. Roy +2
cs.PLcs.AIcs.LOarXiv:1206.3255v22012
ADD for Multi-Bit Image Watermarking
An Luo, Jie Ding
stat.MLcs.AIcs.LGarXiv:2604.11491v12026
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
Joel Jang, Seonghyeon Ye, Zongyu Lin +25
cs.ROcs.AIcs.LGarXiv:2505.12705v22025
Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning
Lirui Luo, Kelong Mao, Heming Xia +10
cs.LGcs.AIcs.CLarXiv:2609.34422v12026
MojiTalk: Generating Emotional Responses at Scale
Xianda Zhou, William Yang Wang
cs.CLcs.AIarXiv:1711.04090v22017
JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents
Gangyi Li, LuYao Wang, Jingfu Sun +7
cs.ROcs.AIcs.LGarXiv:2610.12957v12026
EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control
Kai Yang, Xin Xu, Yangkun Chen +5
cs.LGcs.AIarXiv:2511.15248v22025
Corrective Machine Unlearning
Shashwat Goel, Ameya Prabhu, Philip Torr +2
cs.LGcs.AIcs.CRarXiv:2402.14015v22024
CG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support
Muhammad Muhtasim Shahriar, Md. Naimur Asif Borno, Saad Aloteibi +1
cs.CVcs.AIarXiv:2609.31326v12026
Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?
Guoheng Sun, Kaixi Feng, Shwai He +8
cs.ROcs.AIarXiv:2606.27755v12026
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing
Yayati Jadhav, Peter Pak, Amir Barati Farimani
cs.CLcs.AIcs.LGarXiv:2408.14307v32024
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
Sarah Tan, Rich Caruana, Giles Hooker +1
stat.MLcs.AIcs.LGarXiv:1710.06169v42017
CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents
Bo Qu, Mingguang Chen
cs.AIcs.LGq-fin.CParXiv:2606.29771v32026
One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI
Gaston Besanson
cs.SEcs.AIcs.CYarXiv:2608.18360v12026
Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning
Renjie Mao, Xiangxin Zhou, Lvfang Tao +7
cs.LGcs.AIarXiv:2606.10968v22026
A Mathematical Theory of Pragmatic Information
Kai Niu, Ping Zhang
cs.ITcs.AIcs.ROarXiv:2609.10986v12026
Overcoming the Curvature Bottleneck in MeanFlow
Xinxi Zhang, Shiwei Tan, Quang Nguyen +7
cs.CVcs.AIarXiv:2511.23342v32025
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello, Hieu Pham, Quoc V. Le +2
cs.AIcs.LGstat.MLarXiv:1611.09940v32016
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
Haibo Jin, Peng Kuang, Ye Yu +2
cs.MAcs.AIcs.CLarXiv:2602.03695v22026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
Fangyuan Xu, Rujun Han, Yanfei Chen +7
cs.AIarXiv:2601.18202v12026
Capturing LLM Capabilities via Evidence-Calibrated Query Clustering
Fangzhou Wu, Sandeep Silwal, Qiuyi Zhang
cs.AIcs.LGarXiv:2605.17110v22026
Spurious Rewards: Rethinking Training Signals in RLVR
Rulin Shao, Shuyue Stella Li, Rui Xin +11
cs.AIcs.LGarXiv:2506.10947v22025
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane +3
cs.LGcs.AIcs.DSarXiv:1803.02815v22018
Bit-pragmatic Deep Neural Network Computing
J. Albericio, P. Judd, A. Delmás +2
cs.LGcs.AIcs.ARarXiv:1610.06920v12016
Stealing Reasoning Traces from Proprietary LLM APIs
Alexander Panfilov, David Schmotz, Ilia Shumailov +5
cs.CRcs.AIcs.LGarXiv:2608.09867v12026
Summaries:한국어
Towards Defining, Measuring, and Leveraging Creativity in AI Applications
Jingyi Yang, Alexander Tuzhilin
cs.AIarXiv:2610.12845v12026
A Schema Bounded Language Model for Refining Robot Policies Without Destabilizing Local Learning
Chongwen Dong, Mithun Paul Saint-Germain, Pinjari Asif +1
cs.ROcs.AIarXiv:2609.05133v12026
Rank Reversal in Multilingual LLM Judges: A Label-Free Double-Centering Calibrator
Alhasan Mahmood, Samir Abdaljalil, Hasan Kurban
cs.CLcs.AIarXiv:2608.22432v12026
COFFEQA: Counterfactual-Guided Few-Shot Distillation for LLM Question Answering
Kavinda Kehelella, Sanghamitra Dutta
cs.CLcs.AIcs.LGarXiv:2610.12837v12026
UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility
Yonglin Tian, Fei Lin, Yiduo Li +11
cs.ROcs.AIarXiv:2501.02341v22025
SWE-Game: Can Coding Agents Build the Games We Want?
Xiaoyu Chen, Lai Wei, Jin Wang +8
cs.AIarXiv:2609.33678v32026
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, Yonglong Tian +3
cs.LGcs.AIcs.CVarXiv:1806.03536v22018

Artificial Intelligence

Bottom-Up Abstractive Summarization

Dream to Control: Learning Behaviors by Latent Imagination

A Hybrid Predictive Ensemble of Machine Learning and Deep Neural Networks for Early Cardiovascular Disease Risk Assessment

TileMix: Tile-Centric Mixed-Precision Attention for LLM Inference Acceleration

PUBG Ally: A Conversational Embodied Agent as an AI Teammate

Quantifying Attention Flow in Transformers

Croissant: A Metadata Format for ML-Ready Datasets

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

Torchattacks: A PyTorch Repository for Adversarial Attacks

UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Testing Interchangeability in LLM Agent Teams

Tightening LP Relaxations for MAP using Message Passing

Learning to Delegate for Large-scale Vehicle Routing

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models

Exploring the Role of LLMs in HPC Programming: A Survey

Markov Decision Processes with Continuous Side Information

TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance

Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation

Discrete Diffusion Language Models for Interactive Radiology Report Drafting

Representation Learning for Online and Offline RL in Low-rank MDPs

Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility

CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Supermartingale Certificates for Parametric MDPs

Guided Self-Evolving LLMs with Minimal Human Supervision

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

Approaching Human-Level Forecasting with Language Models

Church: a language for generative models

ADD for Multi-Bit Image Watermarking

DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning

MojiTalk: Generating Emotional Responses at Scale

JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents

EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control

Corrective Machine Unlearning

CG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support

Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?

LLM-3D Print: Large Language Models To Monitor and Control 3D Printing

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents

One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AI

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning

A Mathematical Theory of Pragmatic Information

Overcoming the Curvature Bottleneck in MeanFlow

Neural Combinatorial Optimization with Reinforcement Learning

Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems

SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering

Spurious Rewards: Rethinking Training Signals in RLVR

Sever: A Robust Meta-Algorithm for Stochastic Optimization

Bit-pragmatic Deep Neural Network Computing

Stealing Reasoning Traces from Proprietary LLM APIs

Towards Defining, Measuring, and Leveraging Creativity in AI Applications

A Schema Bounded Language Model for Refining Robot Policies Without Destabilizing Local Learning

Rank Reversal in Multilingual LLM Judges: A Label-Free Double-Centering Calibrator

COFFEQA: Counterfactual-Guided Few-Shot Distillation for LLM Question Answering

UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility

SWE-Game: Can Coding Agents Build the Games We Want?

Representation Learning on Graphs with Jumping Knowledge Networks