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.

Search paper metadata (including unsummarized papers)

7,561 to 7,620 of 15,222

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma, Yixin Cao, YongChing Hong +1
cs.CLcs.AIarXiv:2303.08559v22023
Explainability in Human-Agent Systems
Avi Rosenfeld, Ariella Richardson
cs.AIarXiv:1904.08123v12019
Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods
Sebastian Buschjäger, Nuwan Gunasekara, Heitor Murilo Gomes
cs.LGcs.AIcs.PFarXiv:2608.30923v12026
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar, Alessandro Achille, Avinash Ravichandran +2
cs.LGcs.AIcs.CVarXiv:2012.13431v22020
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Chenyang Lyu, Minghao Wu, Longyue Wang +5
cs.CLcs.AIcs.CVarXiv:2306.09093v12023
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.NEarXiv:1710.11622v32017
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics
Anirudha Majumdar, Marco Pavone
cs.ROcs.AIeess.SYarXiv:1710.11040v22017
A Universal Context-Reuse Layer for Cross-Model KV Sharing
Yi Li, Dongming Jiang, Yi Zhao +1
cs.LGcs.AIarXiv:2608.30963v12026
Medical Visual Question Answering: A Survey
Zhihong Lin, Donghao Zhang, Qingyi Tao +5
cs.CVcs.AIarXiv:2111.10056v32021
Towards Deep Symbolic Reinforcement Learning
Marta Garnelo, Kai Arulkumaran, Murray Shanahan
cs.AIcs.LGarXiv:1609.05518v22016
S$^2$-MLP: Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai +2
cs.CVcs.AIcs.LGarXiv:2106.07477v22021
Measuring Progress on Scalable Oversight for Large Language Models
Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez +43
cs.HCcs.AIcs.CLarXiv:2211.03540v22022
FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management
Jermyn Zhen Yong Bek, Zhuang Qiang Bok, Zhongtian Sun
cs.AIq-fin.PMarXiv:2608.18099v12026
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
Max Schemmer, Niklas Kühl, Carina Benz +2
cs.AIcs.HCarXiv:2302.02187v32023
Online algorithms for POMDPs with continuous state, action, and observation spaces
Zachary Sunberg, Mykel Kochenderfer
cs.AIcs.ROeess.SYarXiv:1709.06196v62017
Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
Yonghao Song, Xueyu Jia, Lie Yang +1
eess.SPcs.AIcs.LGarXiv:2106.11170v12021
HelpSteer2: Open-source dataset for training top-performing reward models
Zhilin Wang, Yi Dong, Olivier Delalleau +6
cs.CLcs.AIcs.LGarXiv:2406.08673v12024
Episodic Transformer for Vision-and-Language Navigation
Alexander Pashevich, Cordelia Schmid, Chen Sun
cs.CVcs.AIarXiv:2105.06453v22021
Deep Learning for Video Game Playing
Niels Justesen, Philip Bontrager, Julian Togelius +1
cs.AIarXiv:1708.07902v32017
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Chunting Zhou, Graham Neubig, Jiatao Gu +4
cs.CLcs.AIarXiv:2011.02593v32020
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin +5
cs.CVcs.AIarXiv:1802.07846v22018
Investigating Explainability of Generative AI for Code through Scenario-based Design
Jiao Sun, Q. Vera Liao, Michael Muller +4
cs.HCcs.AIcs.SEarXiv:2202.04903v12022
Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds
Matthew Groh, Ziv Epstein, Chaz Firestone +1
cs.CVcs.AIarXiv:2105.06496v22021
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
Nan Wang, Hongning Wang, Yiling Jia +1
cs.IRcs.AIarXiv:1806.03568v12018
Learning Materials Properties from Scarce Labels and Unlabeled Crystals
Wentao Li, Yizhe Chen, Jiangjie Qiu +3
cs.LGcs.AIarXiv:2608.30682v12026
Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
Qusai Khraisha, Sophie Put, Johanna Kappenberg +2
cs.CLcs.AIcs.LGarXiv:2310.17526v22023
CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy
Wentao Li, Jiangjie Qiu, Yijun Li +2
cs.LGcs.AIarXiv:2608.30674v12026
BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks
Pradyumna Shyama Prasad, Meiri Anto, Leon Eshuijs +3
cs.LGcs.AIarXiv:2608.30724v12026
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
Maosheng Ye, Shuangjie Xu, Tongyi Cao
cs.CVcs.AIcs.ROarXiv:2003.00186v22020
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li, Junlin Yang, Karsten Kreis +2
cs.CVcs.AIcs.LGarXiv:2104.05833v12021
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Chengsong Huang, Wenhao Yu, Xiaoyang Wang +6
cs.LGcs.AIcs.CLarXiv:2508.05004v42025
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Hao Tang, Dan Xu, Nicu Sebe +3
cs.CVcs.AIcs.LGarXiv:1904.06807v22019
The Anatomy of a Personal Health Agent
A. Ali Heydari, Ken Gu, Vidya Srinivas +35
cs.AIcs.HCcs.MAarXiv:2508.20148v22025
Surrogate Gap Minimization Improves Sharpness-Aware Training
Juntang Zhuang, Boqing Gong, Liangzhe Yuan +6
cs.LGcs.AIarXiv:2203.08065v22022
Prioritized Level Replay
Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
cs.LGcs.AIarXiv:2010.03934v42020
Model-Based Imitation Learning for Urban Driving
Anthony Hu, Gianluca Corrado, Nicolas Griffiths +6
cs.CVcs.AIcs.ROarXiv:2210.07729v22022
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Sihan Chen, Handong Li, Qunbo Wang +4
cs.CVcs.AIcs.CLarXiv:2305.18500v22023
ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale
Xin Wang, Hector Delgado, Hemlata Tak +10
eess.AScs.AIcs.SDarXiv:2408.08739v12024
Collapsibility of Performance Metrics in Clinical Predictive AI
João Matos, Ben Van Calster, Richard D. Riley +2
cs.LGcs.AIarXiv:2608.30568v12026
Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs
Deokjae Lee, Sihun Chu, Hyun Oh Song
cs.LGcs.AIarXiv:2608.30564v12026
Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems
Cheng Gu, Qiusheng Zhao, Anbang Liu +2
cs.LGcs.AImath.OCarXiv:2608.30512v12026
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
Ziming Liu, Pingchuan Ma, Yixuan Wang +2
cs.LGcs.AIphysics.comp-pharXiv:2408.10205v12024
Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability
Matvei Tarasov, Salman Ahmadi-Asl, Andre L. F. de Almeida +1
cs.LGcs.AIarXiv:2608.30505v12026
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si, Jingcheng Du, Zhao Li +5
cs.LGcs.AIarXiv:2010.02809v22020
Evolved Policy Gradients
Rein Houthooft, Richard Y. Chen, Phillip Isola +4
cs.LGcs.AIarXiv:1802.04821v22018
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
Xiaowei Jia, Jared Willard, Anuj Karpatne +4
physics.comp-phcs.AIarXiv:1810.13075v22018
Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework
Zhanbo Zhang, Ming Liu, Qing Wang
cs.LGcs.AIarXiv:2608.30487v12026
Principles alone cannot guarantee ethical AI
Brent Mittelstadt
cs.CYcs.AIarXiv:1906.06668v22019
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao, Zhentao Tang, Yuanheng Zhu +2
cs.MAcs.AIcs.LGarXiv:1912.10944v22019
Efficient Model Learning for Human-Robot Collaborative Tasks
Stefanos Nikolaidis, Keren Gu, Ramya Ramakrishnan +1
cs.ROcs.AIcs.LGarXiv:1405.6341v12014
TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information
Dain Kwon, Kanghyun Choi, Hyeyoon Lee +4
cs.LGcs.AIarXiv:2608.30394v12026
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon +2
eess.AScs.AIcs.SDarXiv:2104.01409v12021
DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving
Yanqi Yu, Pingwei Sun, Jianchao Tan +4
cs.LGcs.AIarXiv:2608.30386v12026
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Kenneth Shaw, Ananye Agarwal, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2309.06440v12023
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
Sebastian Ruder, Noah Constant, Jan Botha +8
cs.CLcs.AIarXiv:2104.07412v22021
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang +2
cs.CVcs.AIcs.LGarXiv:1601.04153v22016
Neural Architecture Search: Insights from 1000 Papers
Colin White, Mahmoud Safari, Rhea Sukthanker +5
cs.LGcs.AIstat.MLarXiv:2301.08727v22023
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng, Junhyuk Oh, Satinder Singh
cs.AIcs.LGstat.MLarXiv:1804.06459v22018
Surface Representation for Point Clouds
Haoxi Ran, Jun Liu, Chengjie Wang
cs.CVcs.AIcs.GRarXiv:2205.05740v22022
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Bill Yuchen Lin, Yicheng Fu, Karina Yang +6
cs.CLcs.AIcs.LGarXiv:2305.17390v22023

Artificial Intelligence

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Explainability in Human-Agent Systems

Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods

Mixed-Privacy Forgetting in Deep Networks

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics

A Universal Context-Reuse Layer for Cross-Model KV Sharing

Medical Visual Question Answering: A Survey

Towards Deep Symbolic Reinforcement Learning

S$^2$-MLP: Spatial-Shift MLP Architecture for Vision

Measuring Progress on Scalable Oversight for Large Language Models

FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management

Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations

Online algorithms for POMDPs with continuous state, action, and observation spaces

Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

HelpSteer2: Open-source dataset for training top-performing reward models

Episodic Transformer for Vision-and-Language Navigation

Deep Learning for Video Game Playing

Detecting Hallucinated Content in Conditional Neural Sequence Generation

Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection

Investigating Explainability of Generative AI for Code through Scenario-based Design

Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

Learning Materials Properties from Scarce Labels and Unlabeled Crystals

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages

CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy

BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks

HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection

Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

The Anatomy of a Personal Health Agent

Surrogate Gap Minimization Improves Sharpness-Aware Training

Prioritized Level Replay

Model-Based Imitation Learning for Urban Driving

VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Collapsibility of Performance Metrics in Clinical Predictive AI

Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs

Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems

KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability

Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Evolved Policy Gradients

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework

Principles alone cannot guarantee ethical AI

A Survey of Deep Reinforcement Learning in Video Games

Efficient Model Learning for Human-Robot Collaborative Tasks

TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving

LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

Studying Very Low Resolution Recognition Using Deep Networks

Neural Architecture Search: Insights from 1000 Papers

On Learning Intrinsic Rewards for Policy Gradient Methods

Surface Representation for Point Clouds

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks