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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16,561 to 16,620 of 27,955

Hierarchical Skills for Efficient Exploration
Jonas Gehring, Gabriel Synnaeve, Andreas Krause +1
cs.LGcs.AIcs.ROarXiv:2110.10809v12021
Comprehensive Benchmarking of Deep Learning Architectures for Lung Cancer Histopathology
Hadi Hasan, Safaa Salman, Lama Sleem +2
cs.CVcs.AIarXiv:2608.15915v12026
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
cs.LGcs.AIcs.NEarXiv:1809.02721v32018
CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
Zhun Wang, Tianneng Shi, Jingxuan He +3
cs.CRcs.AIcs.LGarXiv:2506.02548v32025
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation
Sidharth SS, Keerthana AR, Gokul R +1
cs.LGcs.AIarXiv:2405.07200v32024
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
cs.CVcs.AIcs.GRarXiv:1811.11155v22018
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane
Han Yan, Yang Li, Zhennan Wu +9
cs.CVcs.AIcs.GRarXiv:2403.16210v22024
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut, Gersende Fort, Eric Moulines +1
math.OCcs.AIcs.LGarXiv:2111.02083v22021
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang, Gang Wang, Jian Sun +2
cs.LGcs.AIarXiv:2305.05119v22023
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
Tianyu Hua, Harper Hua, Violet Xiang +5
cs.AIcs.CLarXiv:2506.02314v12025
Machine Learning with a Reject Option: A survey
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas +2
cs.LGcs.AIarXiv:2107.11277v32021
Zero-Shot Text-Guided Object Generation with Dream Fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron +2
cs.CVcs.AIcs.GRarXiv:2112.01455v22021
Neural Belief Tracker: Data-Driven Dialogue State Tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen +2
cs.CLcs.AIcs.LGarXiv:1606.03777v22016
Do LLMs Know a Good Hypothesis When They See One? Logit-Based Energy Scoring Outperforms Prompted LLM-as-Judge for Scientific Hypothesis Ranking
Swati Rajwal, Sanjay Das, Tirthankar Ghosal
cs.AIarXiv:2608.17270v12026
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Haoyang Hong, Jiajun Yin, Yuan Wang +14
cs.AIarXiv:2511.13288v22025
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jongho Park +2
cs.CLcs.AIcs.LGarXiv:2305.04533v12023
SCAFFOLD: A Large-Scale Structured Dataset of Computer Science Research Figures with Diagram QA and Chain-of-Thought Reasoning Traces
Ranjit Raut, Aarav Subedi, Sagun Rai +1
cs.AIcs.CVarXiv:2609.00018v12026
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
Yu Feng, Benteng Ma, Jing Zhang +3
cs.CVcs.AIarXiv:2112.01148v22021
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
Xin Wang, Yasheng Wang, Fei Mi +7
cs.CLcs.AIcs.PLarXiv:2108.04556v32021
MassAlloc Attention: Let Attention Allocate Its Own Compute
Jingze Shi, Zhangyang Peng, Xianduo Li +6
cs.AIcs.CLarXiv:2609.32712v12026
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
Upol Ehsan, Samir Passi, Q. Vera Liao +4
cs.HCcs.AIcs.CYarXiv:2107.13509v22021
LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
Abdur Rahman Bin Md Faizullah, Ashok Urlana, Rahul Mishra
cs.CLcs.AIcs.IRarXiv:2403.15529v22024
Kevin: Multi-Turn RL for Generating CUDA Kernels
Carlo Baronio, Pietro Marsella, Ben Pan +2
cs.LGcs.AIcs.PFarXiv:2507.11948v12025
RISR: Residual-Informed Scientific Equation Discovery with Large Language Models
Haobo Li, Wenshuo Zhang, Wenxiao Zhao +6
cs.SCcs.AIarXiv:2610.11387v12026
Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks
Mohammad Amin Nabian, Hadi Meidani
cs.CEcs.AIstat.MLarXiv:1708.08551v12017
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng, Qi Dai, Hong Li +3
cs.CVcs.AIcs.LGarXiv:2206.05253v22022
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Lingwei Wei, Dou Hu, Wei Zhou +2
cs.AIarXiv:2107.11934v12021
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner +2
cs.LGcs.AIarXiv:2304.10573v22023
GlitchPatch: Repairing Glitch Tokens in Frozen Language Models via Local Retokenization
Kunsheng Tang, Peigui Qi, Yide Song +3
cs.CLcs.AIarXiv:2610.04399v12026
Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI
Nanna Inie, Jeanette Falk, Steven Tanimoto
cs.HCcs.AIarXiv:2303.08931v12023
Distilling Policy Distillation
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero +3
cs.LGcs.AIstat.MLarXiv:1902.02186v12019
Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting
Mary Joy Daniel Vinas
cs.AIcs.ETcs.LGarXiv:2608.21463v12026
Emergence of Hierarchical Emotion Organization in Large Language Models
Maya Okawa, Bo Zhao, Eric J. Bigelow +4
cs.CLcs.AIcs.LGarXiv:2507.10599v32025
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
Swaroop Mishra, Arindam Mitra, Neeraj Varshney +4
cs.CLcs.AIcs.LGarXiv:2204.05660v12022
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
Diego Perez-Liebana, Jialin Liu, Ahmed Khalifa +3
cs.AIarXiv:1802.10363v42018
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
Shenzhi Yang, Guangcheng Zhu, Xing Zheng +7
cs.LGcs.AIarXiv:2512.13106v12025
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
Letian Fu, Justin Yu, Karim El-Refai +13
cs.ROcs.AIarXiv:2603.22435v22026
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
Chengbo Dong, Xinru Chen, Ruohan Hu +2
cs.CVcs.AIarXiv:2112.08935v32021
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
Letian Wang, Jie Liu, Hao Shao +4
cs.ROcs.AIcs.LGarXiv:2305.04412v12023
DeepQA: Improving the estimation of single protein model quality with deep belief networks
Renzhi Cao, Debswapna Bhattacharya, Jie Hou +1
cs.AIcs.LGq-bio.QMarXiv:1607.04379v12016
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen, Yu Cheng, Zhe Gan +3
cs.CVcs.AIarXiv:2106.04533v32021
Revisiting Text Ranking in Deep Research
Chuan Meng, Litu Ou, Sean MacAvaney +1
cs.IRcs.AIcs.CLarXiv:2602.21456v22026
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park, Youngkyu Hong, Byeongho Heo +2
cs.CVcs.AIarXiv:2112.00412v32021
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
Ming Wang, Peidong Wang, Lin Wu +6
cs.CLcs.AIarXiv:2506.00551v22025
Large Language Models for Cyber Security: A Systematic Literature Review
Hanxiang Xu, Shenao Wang, Ningke Li +6
cs.CRcs.AIarXiv:2405.04760v52024
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Harold Li, Hao Tan +5
cs.CVcs.AIcs.CLarXiv:2107.06383v12021
Cross-Subject Generalization in Decoding Perceived Speech from Non-Invasive Brain Recordings
Aoke Zhang, Bo Wang, Xihong Wu +2
cs.SDcs.AIarXiv:2608.22420v12026
Continual Unsupervised Representation Learning
Dushyant Rao, Francesco Visin, Andrei A. Rusu +3
cs.LGcs.AIcs.CVarXiv:1910.14481v12019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller, Robert R. Hoffman, William Clancey +2
cs.AIarXiv:1902.01876v12019
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Roberto Henschel, Levon Khachatryan, Hayk Poghosyan +5
cs.CVcs.AIcs.CLarXiv:2403.14773v22024
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
Qiao Jin, Yifan Yang, Qingyu Chen +1
cs.CLcs.AIq-bio.GNarXiv:2304.09667v32023
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang, Zheng Liu, Shitao Xiao +6
cs.CLcs.AIcs.IRarXiv:2105.02605v32021
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge
cs.CVcs.AIarXiv:2101.12491v22021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li, Songyang Zhang, Bo Wan +1
cs.CVcs.AIarXiv:2104.00308v22021
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang, Rares Dolga, Sangwoong Yoon +1
cs.LGcs.AIstat.MLarXiv:2507.08838v22025
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp +2
cs.ROcs.AIcs.LGarXiv:1807.02303v52018
xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, Markus Spanring +6
cs.LGcs.AIstat.MLarXiv:2405.04517v22024
DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
Zhao Mandi, Yifan Hou, Dieter Fox +3
cs.ROcs.AIcs.LGarXiv:2505.24853v12025
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan +3
cs.CVcs.AIcs.LGarXiv:2106.15282v32021
Evaluating and Benchmarking the System One Model Jev
Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa
cs.CLcs.AIarXiv:2609.37647v12026

Artificial Intelligence

Hierarchical Skills for Efficient Exploration

Comprehensive Benchmarking of Deep Learning Architectures for Lung Cancer Histopathology

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale

Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery

Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane

Federated Expectation Maximization with heterogeneity mitigation and variance reduction

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Machine Learning with a Reject Option: A survey

Zero-Shot Text-Guided Object Generation with Dream Fields

Neural Belief Tracker: Data-Driven Dialogue State Tracking

Do LLMs Know a Good Hypothesis When They See One? Logit-Based Energy Scoring Outperforms Prompted LLM-as-Judge for Scientific Hypothesis Ranking

Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation

SCAFFOLD: A Large-Scale Structured Dataset of Computer Science Research Figures with Diagram QA and Chain-of-Thought Reasoning Traces

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

MassAlloc Attention: Let Attention Allocate Its Own Compute

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers

Kevin: Multi-Turn RL for Generating CUDA Kernels

RISR: Residual-Informed Scientific Equation Discovery with Large Language Models

Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

GlitchPatch: Repairing Glitch Tokens in Frozen Language Models via Local Retokenization

Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI

Distilling Policy Distillation

Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting

Emergence of Hierarchical Emotion Organization in Large Language Models

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Revisiting Text Ranking in Deep Research

The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification

AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation

Large Language Models for Cyber Security: A Systematic Literature Review

How Much Can CLIP Benefit Vision-and-Language Tasks?

Cross-Subject Generalization in Decoding Perceived Speech from Non-Invasive Brain Recordings

Continual Unsupervised Representation Learning

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Efficient-CapsNet: Capsule Network with Self-Attention Routing

Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models

A survey on policy search algorithms for learning robot controllers in a handful of trials

xLSTM: Extended Long Short-Term Memory

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

Cascaded Diffusion Models for High Fidelity Image Generation

Evaluating and Benchmarking the System One Model Jev