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)

10,081 to 10,140 of 15,258

LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
cs.LGcs.AIcs.CLarXiv:2402.12354v22024
Transformers as Soft Reasoners over Language
Peter Clark, Oyvind Tafjord, Kyle Richardson
cs.CLcs.AIarXiv:2002.05867v22020
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Vanessa Buhrmester, David Münch, Michael Arens
cs.AIcs.CVarXiv:1911.12116v12019
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang, Lukas von Stumberg, Rui Wang +1
cs.CVcs.AIarXiv:2003.01060v22020
A Simple Method for Commonsense Reasoning
Trieu H. Trinh, Quoc V. Le
cs.AIcs.CLcs.LGarXiv:1806.02847v22018
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
Johannes Heinrich, David Silver
cs.LGcs.AIcs.GTarXiv:1603.01121v22016
Quasi-Recurrent Neural Networks
James Bradbury, Stephen Merity, Caiming Xiong +1
cs.NEcs.AIcs.CLarXiv:1611.01576v22016
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee, Jinbae Im, Seongwon Jang +2
cs.IRcs.AIcs.LGarXiv:1908.00413v12019
HDMapNet: An Online HD Map Construction and Evaluation Framework
Qi Li, Yue Wang, Yilun Wang +1
cs.CVcs.AIarXiv:2107.06307v42021
CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
Sil Hamilton, Albert Yu Sun, Oscar J. Romero +4
cs.AIcs.CLcs.IRarXiv:2608.27391v12026
Side Adapter Network for Open-Vocabulary Semantic Segmentation
Mengde Xu, Zheng Zhang, Fangyun Wei +2
cs.CVcs.AIarXiv:2302.12242v22023
PILOT in the Loop: Live Self-Improvement for Long-Horizon Agents
Yang Xiao, Yusong Sun, Haoyi Wu +7
cs.AIarXiv:2608.26530v12026
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
Tianyi Xie, Zeshun Zong, Yuxing Qiu +4
cs.GRcs.AIcs.CVarXiv:2311.12198v32023
Causality matters in medical imaging
Daniel C. Castro, Ian Walker, Ben Glocker
eess.IVcs.AIcs.CVarXiv:1912.08142v12019
Learn To Pay Attention
Saumya Jetley, Nicholas A. Lord, Namhoon Lee +1
cs.CVcs.AIarXiv:1804.02391v22018
Focal Modulation Networks
Jianwei Yang, Chunyuan Li, Xiyang Dai +2
cs.CVcs.AIcs.LGarXiv:2203.11926v32022
PailitaoGR: Latent Think-with-Images for Generative Image Retrieval
Xiaomeng Fan, Yueran Liu, Shengyu Zhou +6
cs.CVcs.AIcs.IRarXiv:2608.26658v12026
ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model
Hongruixuan Chen, Jian Song, Chengxi Han +2
eess.IVcs.AIcs.CVarXiv:2404.03425v72024
Towards Measuring the Representation of Subjective Global Opinions in Language Models
Esin Durmus, Karina Nguyen, Thomas I. Liao +15
cs.CLcs.AIarXiv:2306.16388v22023
Differentiable MPC for End-to-end Planning and Control
Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks +2
cs.LGcs.AImath.OCarXiv:1810.13400v32018
A Reranker for Orchestrating Heterogeneous Speech and Text Retrievers
Inho Kim, Sumyeong Ahn
cs.CLcs.AIcs.IRarXiv:2608.26194v12026
Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models
Orhan Yagizer Cinar, Timur Emre Ozkose, Emma Von Hoene +3
cs.AIcs.DLcs.IRarXiv:2608.26150v12026
Pose-Normalized Image Generation for Person Re-identification
Xuelin Qian, Yanwei Fu, Tao Xiang +5
cs.CVcs.AIcs.MMarXiv:1712.02225v62017
Stageboost: Recommending Signals Based on Counterfactual Estimation
Darpan Singhal, Matan Mandelbrod, Tal Franji +3
cs.IRcs.AIarXiv:2608.27366v12026
Environment Inference for Invariant Learning
Elliot Creager, Jörn-Henrik Jacobsen, Richard Zemel
cs.LGcs.AIarXiv:2010.07249v52020
Stealing Reasoning Traces from Proprietary LLM APIs
Alexander Panfilov, David Schmotz, Ilia Shumailov +5
cs.CRcs.AIcs.LGarXiv:2608.09867v12026
Summaries:한국어
Transformer Memory as a Differentiable Search Index
Yi Tay, Vinh Q. Tran, Mostafa Dehghani +10
cs.CLcs.AIcs.IRarXiv:2202.06991v32022
EEG based Emotion Recognition: A Tutorial and Review
Xiang Li, Yazhou Zhang, Prayag Tiwari +6
eess.SPcs.AIcs.LGarXiv:2203.11279v12022
The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting
Jaeik Jeong, Tai-Yeon Ku, Wan-Ki Park
cs.AIarXiv:2608.26134v12026
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Yu Zhang, Dit-Yan Yeung
cs.LGcs.AIstat.MLarXiv:1203.3536v12012
Safety Alignment Should Be Made More Than Just a Few Tokens Deep
Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu +5
cs.CRcs.AIarXiv:2406.05946v12024
EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction
Yu Fu, Yongqi Kang, Yong Zhao +1
cs.AIarXiv:2608.26107v12026
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
Debapriya Maji, Soyeb Nagori, Manu Mathew +1
cs.CVcs.AIcs.LGarXiv:2204.06806v12022
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
cs.LGcs.AIcs.CVarXiv:2009.06962v22020
The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
Marko Cvjetko, Benedikt Hartl, Michael Levin +2
cs.AIarXiv:2608.26116v12026
CIFQA: A Deterministic Tool-Grounded Multi-Agent LLM Framework for Financial Query Answering
Kunjesh Parekh, Anil Kumar Tiwari, Divya Saxena
cs.AIcs.CLq-fin.CParXiv:2608.26114v12026
SpinQuant: LLM quantization with learned rotations
Zechun Liu, Changsheng Zhao, Igor Fedorov +6
cs.LGcs.AIcs.CLarXiv:2405.16406v42024
PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices
Deepak Vungarala, Deniz Najafi, Abdulrahman Aljoudi +6
cs.AIarXiv:2608.26113v12026
Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap
Jiale Liu, Huan Wang, Weicheng Wang +3
cs.AIarXiv:2608.26111v12026
Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset
Di Zhu, Chen Xie, Haoyun Zhang +5
cs.AIarXiv:2608.26109v12026
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Vivian Lai, Chenhao Tan
cs.AIcs.CLcs.CYarXiv:1811.07901v42018
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
cs.LGcs.AIstat.MLarXiv:2002.06278v42020
GameWAM: A World Action Model for Video Games
Yuncheng Guo, Zhanqiu Zhang, Yiwen Guo +1
cs.AIcs.CVcs.LGarXiv:2608.26200v12026
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
Mia Xu Chen, Orhan Firat, Ankur Bapna +9
cs.CLcs.AIarXiv:1804.09849v22018
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Chao Zhang, Zichao Yang, Xiaodong He +1
cs.AIcs.CLcs.CVarXiv:1911.03977v32019
A Survey of the State of Explainable AI for Natural Language Processing
Marina Danilevsky, Kun Qian, Ranit Aharonov +3
cs.CLcs.AIcs.LGarXiv:2010.00711v12020
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
Hanchong Chen, Xing Tang, Lingjie Li +2
cs.IRcs.AIarXiv:2608.26895v12026
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David Patterson, Joseph Gonzalez, Urs Hölzle +7
cs.LGcs.AIcs.GLarXiv:2204.05149v12022
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang, Wen Song, Zhiguang Cao +3
cs.LGcs.AIstat.MLarXiv:2010.12367v12020
Aligning Text-to-Image Models using Human Feedback
Kimin Lee, Hao Liu, Moonkyung Ryu +6
cs.LGcs.AIcs.CVarXiv:2302.12192v12023
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen +17
cs.AIcs.CVcs.HCarXiv:1909.03012v22019
Stochastic Adversarial Video Prediction
Alex X. Lee, Richard Zhang, Frederik Ebert +3
cs.CVcs.AIcs.LGarXiv:1804.01523v12018
Intent Contrastive Learning for Sequential Recommendation
Yongjun Chen, Zhiwei Liu, Jia Li +2
cs.AIarXiv:2202.02519v12022
Simultaneous Envy and Equitability Guarantees
Hadi Hosseini, Shraddha Pathak, Lirong Xia +1
cs.GTcs.AIecon.THarXiv:2608.26410v12026
Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Yashar Talebirad, Amirhossein Nadiri
cs.AIcs.LGcs.MAarXiv:2306.03314v12023
On the Planning Abilities of Large Language Models : A Critical Investigation
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan +1
cs.AIarXiv:2305.15771v22023
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal, Yoshua Bengio
cs.LGcs.AIstat.MLarXiv:2011.15091v42020
AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion
Jakub Seredyński, Georgios Tsaousoglou
cs.AIcs.GTcs.MAarXiv:2608.26896v12026
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
Brett A. Becker, Paul Denny, James Finnie-Ansley +3
cs.HCcs.AIcs.CYarXiv:2212.01020v12022
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +4
cs.AIcs.CLcs.CVarXiv:1802.08129v12018

Artificial Intelligence

LoRA+: Efficient Low Rank Adaptation of Large Models

Transformers as Soft Reasoners over Language

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

A Simple Method for Commonsense Reasoning

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Quasi-Recurrent Neural Networks

MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

HDMapNet: An Online HD Map Construction and Evaluation Framework

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases

Side Adapter Network for Open-Vocabulary Semantic Segmentation

PILOT in the Loop: Live Self-Improvement for Long-Horizon Agents

PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Causality matters in medical imaging

Learn To Pay Attention

Focal Modulation Networks

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Towards Measuring the Representation of Subjective Global Opinions in Language Models

Differentiable MPC for End-to-end Planning and Control

A Reranker for Orchestrating Heterogeneous Speech and Text Retrievers

Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models

Pose-Normalized Image Generation for Person Re-identification

Stageboost: Recommending Signals Based on Counterfactual Estimation

Environment Inference for Invariant Learning

Stealing Reasoning Traces from Proprietary LLM APIs

Transformer Memory as a Differentiable Search Index

EEG based Emotion Recognition: A Tutorial and Review

The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting

A Convex Formulation for Learning Task Relationships in Multi-Task Learning

Safety Alignment Should Be Made More Than Just a Few Tokens Deep

EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning

CIFQA: A Deterministic Tool-Grounded Multi-Agent LLM Framework for Financial Query Answering

SpinQuant: LLM quantization with learned rotations

PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices

Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap

Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection

Algorithmic Recourse: from Counterfactual Explanations to Interventions

GameWAM: A World Action Model for Video Games

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Multimodal Intelligence: Representation Learning, Information Fusion, and Applications

A Survey of the State of Explainable AI for Natural Language Processing

When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

Aligning Text-to-Image Models using Human Feedback

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Stochastic Adversarial Video Prediction

Intent Contrastive Learning for Sequential Recommendation

Simultaneous Envy and Equitability Guarantees

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

On the Planning Abilities of Large Language Models : A Critical Investigation

Inductive Biases for Deep Learning of Higher-Level Cognition

AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion

Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence