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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20,401 to 20,460 of 27,623

A Network-driven Framework for Public Event Forecasting via Dynamic Interaction Network Evolution
Jie Wei, Yue Liu, Xiaochuan Tang +3
cs.AIarXiv:2608.15488v12026
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
cs.LGcs.AIcs.ROarXiv:2311.01450v22023
ChainerRL: A Deep Reinforcement Learning Library
Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka +1
cs.LGcs.AIstat.MLarXiv:1912.03905v22019
SOD: Step-wise On-policy Distillation for Small Language Model Agents
Qiyong Zhong, Mao Zheng, Mingyang Song +5
cs.CLcs.AIarXiv:2605.07725v32026
An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet, Peter Henderson, Riashat Islam +2
cs.LGcs.AIstat.MLarXiv:1811.12560v22018
Understanding HTML with Large Language Models
Izzeddin Gur, Ofir Nachum, Yingjie Miao +6
cs.LGcs.AIarXiv:2210.03945v22022
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI
Yongheng Zhang, Ziang Liu, Jiaxuan Zhu +17
cs.AIarXiv:2606.14502v22026
SAKI: Maximal-Coupling-Routed Teacher Supervision for On-Policy Distillation
Miteto Wei, Xiaohan Wang, Zehao Chen +7
cs.AIarXiv:2609.36601v12026
Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports
Beatrice Alessandra Motetti, Emilien Guandalino, Daniele Jahier Pagliari +4
cs.AIarXiv:2608.14446v12026
AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool Use
Yaotian Yang, Yiwen Tang, Yizhe Chen +14
cs.CVcs.AIarXiv:2505.12650v22025
AvoKV-E: Payload-Aware KV Cache Eviction for Long Reasoning
Han Yu, Wenhui Zhu, Xiwen Chen +9
cs.LGcs.AIarXiv:2610.03007v12026
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair, Chelsea Finn
cs.LGcs.AIcs.CVarXiv:1909.05829v12019
Multi-Objective Meta Learning
Feiyang Ye, Baijiong Lin, Zhixiong Yue +3
cs.LGcs.AIarXiv:2102.07121v12021
Self-Improving Loops for Visual Robotic Planning
Calvin Luo, Zilai Zeng, Mingxi Jia +2
cs.ROcs.AIarXiv:2506.06658v32025
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer +1
cs.CLcs.AIarXiv:1906.02916v22019
One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA
Zhi Zheng, Ziqiao Meng, Hao Luan +2
cs.AIarXiv:2606.10572v12026
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
Xiangpeng Tian, Xiangyu Liao, Xiao Liu +2
cs.CVcs.AIarXiv:2505.12630v12025
CounterSteer: Suppressing Indirect Prompt Injection with Activation Steering
Mark Russinovich
cs.CRcs.AIarXiv:2609.36570v12026
A Survey of Reasoning with Foundation Models
Jiankai Sun, Chuanyang Zheng, Enze Xie +31
cs.AIcs.CLcs.CVarXiv:2312.11562v52023
WebInject: Prompt Injection Attack to Web Agents
Xilong Wang, John Bloch, Zedian Shao +3
cs.LGcs.AIcs.CLarXiv:2505.11717v42025
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
Haoang Chi, He Li, Wenjing Yang +5
cs.AIcs.CLcs.LGarXiv:2506.21215v12025
SDR: Set-Distance Rewards for Radiology Report Generation
Halil Ibrahim Gulluk, Max Van Puyvelde, Wim Van Criekinge +1
cs.AIarXiv:2606.00440v12026
MSRNet: A Multi-Scale Recursive Network for Camouflaged Object Detection
Leena Alghamdi, Muhammad Usman, Hafeez Anwar +2
cs.CVcs.AIeess.IVarXiv:2511.12810v22025
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng +2
cs.LGcs.AIarXiv:2602.10693v32026
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Alan Tucholka +3
eess.IVcs.AIcs.CVarXiv:2210.03736v12022
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
Yewei Liu, Xiyuan Wang, Yansheng Mao +3
cs.CLcs.AIarXiv:2602.06358v32026
FM-ReID: Selective Competitive Token Routing for Object Re-Identification
Zhiqi Li, Xiaowei Zhou, Zeyuan Sun +2
cs.CVcs.AIarXiv:2609.36560v12026
Efficient Reasoning with Flow Language Models
Hanru Bai, Faissal Izermine, Oscar Davis +1
cs.AIarXiv:2610.09416v12026
Search Broadly, Seek Evidence on Both Sides, Decide Narrowly: Evidence-Admissible GraphRAG for Longitudinal Clinical Event Verification
Xingtao Lin, Yubo Feng, Weixin Liu +4
cs.AIarXiv:2608.22062v12026
GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models
Zhankai Ye, Bofan Li, Yukai Jin +5
cs.CVcs.AIarXiv:2601.07632v42026
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
Chen-Yu Wei, Haipeng Luo
cs.LGcs.AIstat.MLarXiv:2102.05406v32021
Deep Learning for Video Game Playing
Niels Justesen, Philip Bontrager, Julian Togelius +1
cs.AIarXiv:1708.07902v32017
Machine learning on small size samples: A synthetic knowledge synthesis
Peter Kokol, Marko Kokol, Sašo Zagoranski
cs.LGcs.AIarXiv:2103.01002v12021
Interactive-Policy Distillation with Bidirectional Propose-and-Verify
Shutong Wu, Xiwen Chen, Brendan Rappazzo +4
cs.LGcs.AIarXiv:2609.36546v12026
Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach
Iias Faiud, Jonaid Shianifar, Michael Schukat +1
cs.AIarXiv:2609.04880v12026
StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns
Luanbo Wan, Weizhi Ma
cs.CLcs.AIarXiv:2506.13356v12025
LIBERO-MAX: Do Robot Policies Adapt When the World Changes?
Yunbei Zhang, Zijian Jin, Yuanzhe Liu +14
cs.ROcs.AIarXiv:2609.36518v12026
Deep Tabular Research via Continual Experience-Driven Execution
Junnan Dong, Chuang Zhou, Zheng Yuan +7
cs.AIarXiv:2603.09151v22026
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
Tony Tao, Mohan Kumar Srirama, Jason Jingzhou Liu +2
cs.ROcs.AIcs.CVarXiv:2505.07813v22025
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning
Wei Sun, Wen Yang, Pu Jian +4
cs.AIcs.CLarXiv:2505.16826v22025
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
cs.AIcs.MAarXiv:1805.07733v32018
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Yuchen Xiao, Brett Daley +1
cs.LGcs.AIarXiv:2102.04402v22021
AI in Finance: Challenges, Techniques and Opportunities
Longbing Cao
q-fin.CPcs.AIcs.CEarXiv:2107.09051v12021
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan +7
cs.CLcs.AIcs.LGarXiv:2505.00661v32025
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
cs.CLcs.AIcs.LGarXiv:2601.21996v22026
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Tingyang Chen, Shuo Lu, Kang Zhao +11
cs.AIarXiv:2606.14249v32026
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential
Qing Lyu, Josh Tan, Michael E. Zapadka +5
cs.CLcs.AIphysics.med-pharXiv:2303.09038v32023
Student-t Processes as Alternatives to Gaussian Processes
Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani
stat.MLcs.AIcs.LGarXiv:1402.4306v22014
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He, Tianxiang Sun, Kuanning Wang +2
cs.CLcs.AIcs.LGarXiv:2211.15029v22022
AVIO: Learning to Add and Remove Sounding Objects in Audiovisual Scenes
Weihan Xu, Kan Jen Cheng, Koichi Saito +8
cs.AIarXiv:2609.36503v12026
Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data
Dominik Schnaus, Thomas Dagès, Daniel Cremers +2
cs.LGcs.AIcs.CVarXiv:2610.09411v12026
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li, Hao Liu, Chaofan Chen +1
cs.AIcs.LGstat.MLarXiv:1710.04806v22017
LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri
cs.SEcs.AIcs.CLarXiv:2511.07865v12025
Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery
Akhil Bagaria, Anita De Mello Koch, George Konidaris
cs.AIcs.LGarXiv:2609.36473v12026
Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance
Kwanyoung Kim
cs.CVcs.AIarXiv:2511.07499v12025
Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling
Stefano Leggio, Giulio Rossolini, Alessandro Biondi
cs.CRcs.AIarXiv:2609.01232v12026
Bits Under ZK-LLM: Evaluating Zero-Knowledge-Friendly Quantization for Verifiable Private LLM Inference
Taeung Yoon, Yupeng Zhang, Xiaojing Liao
cs.AIarXiv:2609.36437v12026
CAT: Cross Attention in Vision Transformer
Hezheng Lin, Xing Cheng, Xiangyu Wu +5
cs.CVcs.AIarXiv:2106.05786v12021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2102.02201v22021
The AI Hippocampus: How Far are We From Human Memory?
Zixia Jia, Jiaqi Li, Yipeng Kang +12
cs.AIarXiv:2601.09113v12026

Artificial Intelligence

A Network-driven Framework for Public Event Forecasting via Dynamic Interaction Network Evolution

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

ChainerRL: A Deep Reinforcement Learning Library

SOD: Step-wise On-policy Distillation for Small Language Model Agents

An Introduction to Deep Reinforcement Learning

Understanding HTML with Large Language Models

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

SAKI: Maximal-Coupling-Routed Teacher Supervision for On-Policy Distillation

Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports

AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool Use

AvoKV-E: Payload-Aware KV Cache Eviction for Long Reasoning

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation

Multi-Objective Meta Learning

Self-Improving Loops for Visual Robotic Planning

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA

Degradation-Aware Feature Perturbation for All-in-One Image Restoration

CounterSteer: Suppressing Indirect Prompt Injection with Activation Steering

A Survey of Reasoning with Foundation Models

WebInject: Prompt Injection Attack to Web Agents

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

SDR: Set-Distance Rewards for Radiology Report Generation

MSRNet: A Multi-Scale Recursive Network for Camouflaged Object Detection

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis

SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass

FM-ReID: Selective Competitive Token Routing for Object Re-Identification

Efficient Reasoning with Flow Language Models

Search Broadly, Seek Evidence on Both Sides, Decide Narrowly: Evidence-Admissible GraphRAG for Longitudinal Clinical Event Verification

GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models

Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach

Deep Learning for Video Game Playing

Machine learning on small size samples: A synthetic knowledge synthesis

Interactive-Policy Distillation with Bidirectional Propose-and-Verify

Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach

StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns

LIBERO-MAX: Do Robot Policies Adapt When the World Changes?

Deep Tabular Research via Continual Experience-Driven Execution

DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies

KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning

Learning Attentional Communication for Multi-Agent Cooperation

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

AI in Finance: Challenges, Techniques and Opportunities

On the generalization of language models from in-context learning and finetuning: a controlled study

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential

Student-t Processes as Alternatives to Gaussian Processes

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

AVIO: Learning to Add and Remove Sounding Objects in Audiovisual Scenes

Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data

Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost

Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery

Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance

Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling

Bits Under ZK-LLM: Evaluating Zero-Knowledge-Friendly Quantization for Verifiable Private LLM Inference

CAT: Cross Attention in Vision Transformer

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

The AI Hippocampus: How Far are We From Human Memory?