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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7,021 to 7,080 of 15,344

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection
Hanoona Rasheed, Muhammad Maaz, Muhammad Uzair Khattak +2
cs.CVcs.AIarXiv:2207.03482v32022
Dutch Books for Language Models
Isaiah Andrews, Suproteem Sarkar
econ.GNcs.AIcs.CLarXiv:2609.02797v12026
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model
Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish +1
eess.AScs.AIcs.CLarXiv:2304.13731v22023
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam +4
cs.CLcs.AIarXiv:2105.13562v22021
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park, Kevin Frans, Benjamin Eysenbach +1
cs.LGcs.AIarXiv:2410.20092v22024
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Junying Chen, Chi Gui, Ruyi Ouyang +10
cs.CVcs.AIcs.CLarXiv:2406.19280v42024
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand, Tudor Achim
q-bio.QMcs.AIarXiv:2205.15019v12022
Reinforcement Learning from Imperfect Demonstrations
Yang Gao, Huazhe Xu, Ji Lin +3
cs.AIcs.LGstat.MLarXiv:1802.05313v22018
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
Yifei Zhou, Andrea Zanette, Jiayi Pan +2
cs.LGcs.AIcs.CLarXiv:2402.19446v12024
A Data-Driven Multimodal Method for Early Detection of Coordinated Abnormal Behaviors in Live-Streaming Platforms
Jingwen Luo, Pinrui Zhu, Yiyan Wang +4
cs.SIcs.AIarXiv:2609.01649v12026
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu +2
cs.CLcs.AIarXiv:2307.16877v22023
AlphaMath Almost Zero: Process Supervision without Process
Guoxin Chen, Minpeng Liao, Chengxi Li +1
cs.CLcs.AIarXiv:2405.03553v32024
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1804.06451v22018
RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection
Taufikur Rahman Fuad, Md Abrar Jahin, Amir Hussain
cs.LGcs.AIarXiv:2609.02497v12026
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Tarek Naous, Michael J. Ryan, Alan Ritter +1
cs.CLcs.AIcs.LGarXiv:2305.14456v42023
Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems
Yiran Zhao, Lu Zhou, Liming Fang +4
cs.AIarXiv:2609.02092v12026
Towards Measuring and Modeling "Culture" in LLMs: A Survey
Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania +5
cs.CYcs.AIcs.CLarXiv:2403.15412v52024
Reward-rational (implicit) choice: A unifying formalism for reward learning
Hong Jun Jeon, Smitha Milli, Anca D. Dragan
cs.LGcs.AIcs.HCarXiv:2002.04833v42020
Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes
Juergen Schmidhuber
cs.AIcs.NEarXiv:0812.4360v22008
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Arwen Bradley, Etai Littwin +5
cs.LGcs.AIcs.CLarXiv:2310.16028v12023
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin, Sean Welleck, Daniel Khashabi +1
cs.CLcs.AIcs.LGarXiv:2202.11705v32022
RouteGraph-Mona: Confusion-Aware Routing Fine-Tuning for Mineral Image Classification
Jierui Li, Zhiyuan Qi, Hao Zhu +7
cs.CVcs.AIarXiv:2609.02282v12026
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
Uri Shaham, Maor Ivgi, Avia Efrat +2
cs.CLcs.AIcs.LGarXiv:2305.14196v32023
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei +2
cs.LGcs.AIarXiv:2102.03322v42021
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Tianhao Wu, Weizhe Yuan, Olga Golovneva +5
cs.CLcs.AIarXiv:2407.19594v22024
CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI
Austin Tudor David Andrews, Liam Wilkinson, Jamie Heagerty +3
cs.AIarXiv:2609.02459v12026
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Benfeng Xu, Quan Wang, Yajuan Lyu +2
cs.CLcs.AIarXiv:2102.10249v12021
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
Max Ku, Dongfu Jiang, Cong Wei +2
cs.CVcs.AIcs.CLarXiv:2312.14867v22023
SOAP: Improving and Stabilizing Shampoo using Adam
Nikhil Vyas, Depen Morwani, Rosie Zhao +5
cs.LGcs.AIarXiv:2409.11321v22024
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass +3
cs.CLcs.AIarXiv:1911.09709v32019
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
cs.CLcs.AIcs.LGarXiv:2105.00827v22021
Data-driven Discovery of Cyber-Physical Systems
Ye Yuan, Xiuchuan Tang, Wei Pan +5
eess.SYcs.AIcs.LGarXiv:1810.00697v12018
Meta-learning approaches for few-shot learning: A survey of recent advances
Hassan Gharoun, Fereshteh Momenifar, Fang Chen +1
cs.LGcs.AIarXiv:2303.07502v12023
The Revolution of Multimodal Large Language Models: A Survey
Davide Caffagni, Federico Cocchi, Luca Barsellotti +6
cs.CVcs.AIcs.CLarXiv:2402.12451v22024
A Berkeley View of Systems Challenges for AI
Ion Stoica, Dawn Song, Raluca Ada Popa +11
cs.AIarXiv:1712.05855v12017
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier, Rémy Portelas, Yoan Mollard +1
cs.AIcs.LGarXiv:1708.02190v32017
Context-aware Sequential Recommendation
Qiang Liu, Shu Wu, Diyi Wang +2
cs.IRcs.AIarXiv:1609.05787v12016
Towards Verified Artificial Intelligence
Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry
cs.AIarXiv:1606.08514v42016
SciMON: Scientific Inspiration Machines Optimized for Novelty
Qingyun Wang, Doug Downey, Heng Ji +1
cs.CLcs.AIcs.LGarXiv:2305.14259v72023
Machine Learning with a Reject Option: A survey
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas +2
cs.LGcs.AIarXiv:2107.11277v32021
Review of multimodal machine learning approaches in healthcare
Felix Krones, Umar Marikkar, Guy Parsons +2
cs.LGcs.AIcs.CVarXiv:2402.02460v22024
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
Lingteng Qiu, Guanying Chen, Xiaodong Gu +7
cs.CVcs.AIarXiv:2311.16918v22023
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu, Suraj Nair, Yuke Zhu +4
cs.AIcs.LGcs.ROarXiv:1710.01813v22017
Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
cs.AIarXiv:2102.10717v22021
DKL: Decoupled Knowledge Learning for Instruction-Tuned Language Models
Kushagra Bhushan, Meghanadh Pulivarthi, Sai Krishna Reddy Sathi +7
cs.CLcs.AIarXiv:2609.02685v12026
DiffIE: Diffusion-based Open Information Extraction
Konstantin Fedorov, Valentin Malykh
cs.CLcs.AIarXiv:2609.02315v12026
Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection
Dewan Md. Farid, Nouria Harbi, Mohammad Zahidur Rahman
cs.AIarXiv:1005.4496v12010
CHIME: Credit-Aware Hierarchical Memory Evolution for Long-Horizon Agentic Planning
Yongshi Ye, Tian Lan, Feihu Jiang +7
cs.AIarXiv:2609.02074v12026
RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models
Canjie Liu, Jiawen Kang, Jinbo Wen +1
cs.CVcs.AIarXiv:2609.02731v12026
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
Linhong Zhu, Dong Guo, Junming Yin +2
cs.SIcs.AIcs.IRarXiv:1411.3675v32014
InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
Yuxing Long, Wenzhe Cai, Hongcheng Wang +2
cs.ROcs.AIcs.CLarXiv:2406.04882v12024
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan +1
cs.HCcs.AIarXiv:2301.07255v32023
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
Ole-Christoffer Granmo
cs.AIcs.CVcs.LGarXiv:1804.01508v152018
ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction
Quan Hao, Mengyue Fan, Zifan Dong +8
cs.LGcs.AIarXiv:2609.02549v12026
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Wen Zhang, Bibek Paudel, Wei Zhang +2
cs.AIcs.CLarXiv:1903.04750v12019
Signal or Noise? Auditing Rotation-Induced Saliency Drift in Medical and Aerial Imaging
Khawaja Murad ul Hassan, Mehran Ebrahimi
cs.CVcs.AIarXiv:2609.02224v12026
Do Large Language Models Capture the Diversity in their Training Data?
Youqi Wu, Farzan Farnia
cs.CLcs.AIcs.LGarXiv:2609.02275v12026
Behaviour Suite for Reinforcement Learning
Ian Osband, Yotam Doron, Matteo Hessel +11
cs.LGcs.AIstat.MLarXiv:1908.03568v32019
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang +50
cs.DCcs.AIcs.LGarXiv:2104.05158v72021
A Power Law in Logarithm's Clothing: On the Scalability of Graph-Based Vector Search
Sajad Faghfoor Maghrebi, Navid Eslami, Niv Dayan
cs.DBcs.AIcs.IRarXiv:2609.02143v12026

Artificial Intelligence

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection

Dutch Books for Language Models

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

OGBench: Benchmarking Offline Goal-Conditioned RL

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models

Reinforcement Learning from Imperfect Demonstrations

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

A Data-Driven Multimodal Method for Early Detection of Coordinated Abnormal Behaviors in Live-Streaming Platforms

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

AlphaMath Almost Zero: Process Supervision without Process

Multi-Reward Reinforced Summarization with Saliency and Entailment

RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection

Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems

Towards Measuring and Modeling "Culture" in LLMs: A Survey

Reward-rational (implicit) choice: A unifying formalism for reward learning

Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

What Algorithms can Transformers Learn? A Study in Length Generalization

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics

RouteGraph-Mona: Confusion-Aware Routing Fine-Tuning for Mineral Image Classification

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

SOAP: Improving and Stabilizing Shampoo using Adam

Automatically Neutralizing Subjective Bias in Text

AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models

Data-driven Discovery of Cyber-Physical Systems

Meta-learning approaches for few-shot learning: A survey of recent advances

The Revolution of Multimodal Large Language Models: A Survey

A Berkeley View of Systems Challenges for AI

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

Context-aware Sequential Recommendation

Towards Verified Artificial Intelligence

SciMON: Scientific Inspiration Machines Optimized for Novelty

Machine Learning with a Reject Option: A survey

Review of multimodal machine learning approaches in healthcare

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

Abstraction and Analogy-Making in Artificial Intelligence

DKL: Decoupled Knowledge Learning for Instruction-Tuned Language Models

DiffIE: Diffusion-based Open Information Extraction

Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection

CHIME: Credit-Aware Hierarchical Memory Evolution for Long-Horizon Agentic Planning

RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization

InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations

The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Signal or Noise? Auditing Rotation-Induced Saliency Drift in Medical and Aerial Imaging

Do Large Language Models Capture the Diversity in their Training Data?

Behaviour Suite for Reinforcement Learning

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

A Power Law in Logarithm's Clothing: On the Scalability of Graph-Based Vector Search