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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1 to 60 of 23,641

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
Shuohang Wang, Yichong Xu, Yuwei Fang +5
cs.CLcs.AIcs.IRarXiv:2203.08773v12022
DeFiRank: Federated Pairwise Ranking for Governance in Decentralized Financial Networks
Zahra Batool, Michael Duchesne, Kaiwen Zhang +1
cs.AIarXiv:2610.12916v12026
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection
Xuhong Wang, Ying Du, Shijie Lin +3
cs.LGcs.AIstat.MLarXiv:1903.00904v32019
The Dawn of Quantum Natural Language Processing
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen +2
cs.CLcs.AIcs.CVarXiv:2110.06510v12021
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
Preksha Nema, Shreyas Shetty, Parag Jain +3
cs.CLcs.AIcs.LGarXiv:1804.07789v12018
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Qipeng Guo, Zhijing Jin, Xipeng Qiu +3
cs.CLcs.AIcs.LGarXiv:2006.04702v32020
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang, Zhewei Xu, Pedro Szekely +1
cs.CLcs.AIcs.LGarXiv:2205.03972v12022
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization
Parag Jain, Anirban Laha, Karthik Sankaranarayanan +3
cs.CLcs.AIarXiv:1804.07790v12018
Table-to-Text: Describing Table Region with Natural Language
Junwei Bao, Duyu Tang, Nan Duan +4
cs.CLcs.AIarXiv:1805.11234v12018
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
Jiayi Liu, Tinghan Yang, Jennifer Neville
cs.CLcs.AIcs.LGarXiv:2402.14833v12024
OmniBench: Towards The Future of Universal Omni-Language Models
Yizhi Li, Yinghao Ma, Ge Zhang +20
cs.CLcs.AIcs.CVarXiv:2409.15272v62024
MoonCast: High-Quality Zero-Shot Podcast Generation
Zeqian Ju, Dongchao Yang, Jianwei Yu +7
eess.AScs.AIcs.CLarXiv:2503.14345v22025
OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation
Qinglin Zhang, Luyao Cheng, Chong Deng +8
cs.CLcs.AIcs.SDarXiv:2410.17799v22024
RESCUE: Is This Alarm Worth Acting On? Counterfactual Evaluation of VLA Runtime Monitors
David Ahmedt-Aristizabal, Abdelwahed Khamis, Mohammad Ali Armin +1
cs.ROcs.AIarXiv:2610.13516v12026
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu, Ze Yang, Xiao Lin +6
cs.LGcs.AIarXiv:2505.18442v12025
When Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows
Yuchen Ling, Shengcheng Yu, Zhenyu Chen +1
cs.AIarXiv:2610.13092v12026
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Egor Cherepanov, Nikita Kachaev, Alexey K. Kovalev +1
cs.LGcs.AIcs.ROarXiv:2502.10550v32025
An application of incomplete pairwise comparison matrices for ranking top tennis players
Sándor Bozóki, László Csató, József Temesi
cs.AIcs.GTstat.AParXiv:1611.00538v12016
What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training
Yuxuan Gu, Kequan Niu, Xiaocheng Feng +3
cs.CLcs.AIcs.LGarXiv:2610.12995v12026
Humanize Olympiad Agents: A Multi-Session Workflow for Olympiad Problem Solving with Solve, Review, Wiki, Verify
Zhengyang Zhang, Jing Xiong, Hongzhou Lin +5
cs.AIarXiv:2610.13632v12026
Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits
Changye Li, Zijian Zhang, Muheng Li +12
cs.AIarXiv:2610.13494v12026
Inducing Structure in Reward Learning by Learning Features
Andreea Bobu, Marius Wiggert, Claire Tomlin +1
cs.ROcs.AIcs.HCarXiv:2201.07082v12022
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony, Tom Eccles, Andrea Tacchetti +11
cs.LGcs.AIcs.GTarXiv:2006.04635v42020
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia +2
cs.LGcs.AIcs.CVarXiv:2307.07176v32023
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2002.00941v22020
WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models
Hongjin Chen, Shangyun Jiang, Tonghua Su +4
cs.AIcs.CVcs.ROarXiv:2604.07957v12026
Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao, KaiChiu Wong, Chin-Teng Lin
cs.AIarXiv:2007.12904v22020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
Adam Bignold, Francisco Cruz, Matthew E. Taylor +4
cs.AIcs.LGcs.MAarXiv:2007.01544v22020
SIRL: Similarity-based Implicit Representation Learning
Andreea Bobu, Yi Liu, Rohin Shah +2
cs.ROcs.AIcs.HCarXiv:2301.00810v32023
A Generalized Acquisition Function for Preference-based Reward Learning
Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell +2
cs.ROcs.AIcs.LGarXiv:2403.06003v12024
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Hritik Bansal, John Dang, Aditya Grover
cs.LGcs.AIcs.CLarXiv:2308.15812v32023
The Stochastic Shift: A New Evaluation Paradigm for Text-to-SQL with AI Operators
Tarfah Alrashed, Fatma Ozcan, Per Jacobsson +2
cs.DBcs.AIarXiv:2609.21133v12026
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu, Max Simchowitz, Siri Gadipudi +1
cs.LGcs.AIcs.ROarXiv:2309.00082v22023
Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers
Yuhong Chou, Zehao Liu, Yuqi Pan +4
cs.LGcs.AIarXiv:2610.13735v12026
When MLLMs miss what humans read: diagnosing and learning to read squint text
Chen Peng, Shan Huang, Jianbo Huang +3
cs.CVcs.AIarXiv:2610.13465v12026
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Juyi Lin, Amir Taherin, Arash Akbari +11
cs.CVcs.AIcs.ROarXiv:2507.05116v52025
LESS is More: Rethinking Probabilistic Models of Human Behavior
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2001.04465v12020
Methodological reflections for AI alignment research using human feedback
Thilo Hagendorff, Sarah Fabi
cs.HCcs.AIcs.CLarXiv:2301.06859v12022
Active Reward Learning from Multiple Teachers
Peter Barnett, Rachel Freedman, Justin Svegliato +1
cs.LGcs.AIarXiv:2303.00894v12023
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao +1
cs.AIcs.LGcs.ROarXiv:2309.00709v12023
Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
Asmae Mouradi, Shruti Kshirsagar
cs.CVcs.AIcs.LGarXiv:2603.14694v22026
Self-Generated Critiques Boost Reward Modeling for Language Models
Yue Yu, Zhengxing Chen, Aston Zhang +10
cs.CLcs.AIcs.LGarXiv:2411.16646v32024
A GPT-4 Reticular Chemist for Guiding MOF Discovery
Zhiling Zheng, Zichao Rong, Nakul Rampal +3
cs.AIcond-mat.mtrl-sciphysics.chem-pharXiv:2306.14915v22023
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
Letian Wang, Jie Liu, Hao Shao +4
cs.ROcs.AIcs.LGarXiv:2305.04412v12023
No-Press Diplomacy from Scratch
Anton Bakhtin, David Wu, Adam Lerer +1
cs.LGcs.AIcs.GTarXiv:2110.02924v12021
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
Muyao Li, Zihao Wang, Kaichen He +2
cs.CVcs.AIarXiv:2503.16365v22025
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
Jaewoo Ahn, Junseo Kim, Heeseung Yun +4
cs.AIcs.CLcs.CVarXiv:2509.01052v22025
Learning Size Independent Constraint Models from Input Data and Positive and Negative Example Solutions
Helmut Simonis
cs.AIarXiv:2610.13640v12026
Multimodal Across Domains Gaze Target Detection
Francesco Tonini, Cigdem Beyan, Elisa Ricci
cs.CVcs.AIcs.HCarXiv:2208.10822v12022
Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing
Oktie Hassanzadeh, Dharmashankar Subramanian
cs.DBcs.AIarXiv:2610.13823v12026
Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks
Nektarios Kalampalikis, Pablo M. Olmos, Isabel Valera
cs.LGcs.AIstat.MLarXiv:2610.13693v12026
DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs
Minghui Huang
cs.CLcs.AIarXiv:2509.04483v12025
Variance-Reduced Policy Gradient is Nearly Minimax-Optimal
Leonardo Cesani, Matteo Papini, Marcello Restelli
cs.LGcs.AIarXiv:2610.13692v12026
AlphaNIST: Emergent Assembly Skills from Binary Task Rewards
Octi Zhang, Iretiayo Akinola, Rosario Scalise +12
cs.AIcs.ROarXiv:2610.13354v12026
SpatialASM: Internalizing Active Mentalization for Spatial Reasoning
Yuhong Liu, Shenxi Wu, Junyi Chi +5
cs.CVcs.AIarXiv:2610.13832v12026
Conservative Agency via Attainable Utility Preservation
Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
cs.AIarXiv:1902.09725v32019
Penalizing side effects using stepwise relative reachability
Victoria Krakovna, Laurent Orseau, Ramana Kumar +2
cs.LGcs.AIstat.MLarXiv:1806.01186v22018
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
Seungpil Lee, Woochang Sim, Donghyeon Shin +6
cs.CLcs.AIcs.ETarXiv:2403.11793v32024
Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging Data
Jayanie Bogahawatte, Sachith Seneviratne, Simon Maksour +6
eess.IVcs.AIcs.CVarXiv:2610.13637v12026
AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs
Shreya Sajid, Anna Vettoruzzo, Joaquin Vanschoren
cs.SDcs.AIeess.ASarXiv:2610.13600v12026

Artificial Intelligence

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data

DeFiRank: Federated Pairwise Ranking for Governance in Decentralized Financial Networks

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

The Dawn of Quantum Natural Language Processing

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization

Table-to-Text: Describing Table Region with Natural Language

CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness

OmniBench: Towards The Future of Universal Omni-Language Models

MoonCast: High-Quality Zero-Shot Podcast Generation

OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

RESCUE: Is This Alarm Worth Acting On? Counterfactual Evaluation of VLA Runtime Monitors

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

When Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

An application of incomplete pairwise comparison matrices for ranking top tennis players

What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training

Humanize Olympiad Agents: A Multi-Session Workflow for Olympiad Problem Solving with Solve, Review, Wiki, Verify

Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits

Inducing Structure in Reward Learning by Learning Features

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

SafeDreamer: Safe Reinforcement Learning with World Models

Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections

WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models

Weak Human Preference Supervision For Deep Reinforcement Learning

A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review

SIRL: Similarity-based Implicit Representation Learning

A Generalized Acquisition Function for Preference-based Reward Learning

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

The Stochastic Shift: A New Evaluation Paradigm for Text-to-SQL with AI Operators

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers

When MLLMs miss what humans read: diagnosing and learning to read squint text

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting

LESS is More: Rethinking Probabilistic Models of Human Behavior

Methodological reflections for AI alignment research using human feedback

Active Reward Learning from Multiple Teachers

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation

Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation

Self-Generated Critiques Boost Reward Modeling for Language Models

A GPT-4 Reticular Chemist for Guiding MOF Discovery

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

No-Press Diplomacy from Scratch

JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse

FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games

Learning Size Independent Constraint Models from Input Data and Positive and Negative Example Solutions

Multimodal Across Domains Gaze Target Detection

Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing

Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks

DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs

Variance-Reduced Policy Gradient is Nearly Minimax-Optimal

AlphaNIST: Emergent Assembly Skills from Binary Task Rewards

SpatialASM: Internalizing Active Mentalization for Spatial Reasoning

Conservative Agency via Attainable Utility Preservation

Penalizing side effects using stepwise relative reachability

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging Data

AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs