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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1,501 to 1,560 of 15,455

Nested conformal prediction and quantile out-of-bag ensemble methods
Chirag Gupta, Arun K. Kuchibhotla, Aaditya K. Ramdas
stat.MEcs.AImath.STarXiv:1910.10562v42019
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia, Kai-Zhan Lee, Yoshua Bengio +1
cs.LGcs.AIarXiv:2107.00793v32021
X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs
Di Cao, Dongjie Fu, Hai Yu +3
eess.AScs.AIcs.CLarXiv:2603.24596v32026
Few-shot In-context Learning for Knowledge Base Question Answering
Tianle Li, Xueguang Ma, Alex Zhuang +3
cs.CLcs.AIarXiv:2305.01750v22023
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
Mattia Soldan, Alejandro Pardo, Juan León Alcázar +4
cs.CVcs.AIarXiv:2112.00431v22021
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Wei Li, Linchao Zhu, Longyin Wen +1
cs.CVcs.AIcs.CLarXiv:2303.03032v12023
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee, Laura Smith, Anca Dragan +1
cs.LGcs.AIcs.HCarXiv:2111.03026v12021
Large Language Models and the Reverse Turing Test
Terrence Sejnowski
cs.CLcs.AIcs.LGarXiv:2207.14382v92022
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim +4
cs.LGcs.AIarXiv:2305.14152v22023
Formal Verification of Autonomous Vehicle Platooning
Maryam Kamali, Louise A. Dennis, Owen McAree +2
cs.AIcs.SEarXiv:1602.01718v12016
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew +3
cs.LGcs.AIstat.MLarXiv:1803.02965v32018
IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
Hengyu An, Jinghuai Zhang, Tianyu Du +4
cs.CRcs.AIcs.CLarXiv:2508.15310v12025
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
cs.LGcs.AIarXiv:2605.17285v12026
A spelling correction model for end-to-end speech recognition
Jinxi Guo, Tara N. Sainath, Ron J. Weiss
eess.AScs.AIcs.CLarXiv:1902.07178v12019
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions
Xixun Lin, Yucheng Ning, Jingwen Zhang +21
cs.AIarXiv:2509.18970v22025
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
Kourosh Darvish, Marta Skreta, Yuchi Zhao +9
cs.ROcs.AIarXiv:2401.06949v22024
Dynamic Multimodal Fusion
Zihui Xue, Radu Marculescu
cs.CVcs.AIcs.MMarXiv:2204.00102v22022
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Shaolei Zhang, Ju Fan, Meihao Fan +2
cs.AIcs.CLcs.DBarXiv:2510.16872v12025
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Yuntian Chen, Dou Huang, Dongxiao Zhang +4
cs.LGcs.AIarXiv:2012.06148v22020
SceneGen: Learning to Generate Realistic Traffic Scenes
Shuhan Tan, Kelvin Wong, Shenlong Wang +3
cs.CVcs.AIcs.LGarXiv:2101.06541v12021
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
Hanrong Ye, Chao-Han Huck Yang, Arushi Goel +29
cs.CVcs.AIcs.CLarXiv:2510.15870v22025
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Fangkai Yang, Daoming Lyu, Bo Liu +1
cs.LGcs.AIstat.MLarXiv:1804.07779v32018
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks
Junyao Yang, Yucheng Shi, Zhongzhi Li +4
cs.LGcs.AIarXiv:2609.11042v12026
Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap
Zhefan Xu, Di Deng, Kenji Shimada
cs.ROcs.AIarXiv:2010.07429v32020
Customizable Contraction Hierarchies
Julian Dibbelt, Ben Strasser, Dorothea Wagner
cs.DScs.AIarXiv:1402.0402v52014
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning
Francois Belletti, Daniel Haziza, Gabriel Gomes +1
cs.AIarXiv:1701.08832v12017
The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
cs.DBcs.AIarXiv:1807.08709v12018
LLM Agents can Autonomously Hack Websites
Richard Fang, Rohan Bindu, Akul Gupta +2
cs.CRcs.AIarXiv:2402.06664v32024
O1 Replication Journey: A Strategic Progress Report -- Part 1
Yiwei Qin, Xuefeng Li, Haoyang Zou +8
cs.AIcs.CLarXiv:2410.18982v12024
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
Xingyu Li, Zhe Qu, Shangqing Zhao +3
cs.LGcs.AIcs.CRarXiv:2201.02873v12022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe, Sara Magliacane, Sindy Löwe +3
cs.LGcs.AIstat.MEarXiv:2202.03169v32022
Reliable Conflictive Multi-View Learning
Cai Xu, Jiajun Si, Ziyu Guan +3
cs.LGcs.AIarXiv:2402.16897v22024
Understanding Optical Music Recognition
Jorge Calvo-Zaragoza, Jan Hajič, Alexander Pacha
cs.CVcs.AIcs.IRarXiv:1908.03608v32019
Fairlearn: Assessing and Improving Fairness of AI Systems
Hilde Weerts, Miroslav Dudík, Richard Edgar +3
cs.LGcs.AIcs.CYarXiv:2303.16626v12023
A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng +1
cs.CLcs.AIarXiv:2310.04270v32023
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
Anka Reuel, Amelia Hardy, Chandler Smith +3
cs.AIcs.LGarXiv:2411.12990v12024
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Rafael Rafailov, Yaswanth Chittepu, Ryan Park +5
cs.LGcs.AIcs.CLarXiv:2406.02900v22024
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham +1
cs.CLcs.AIcs.LGarXiv:2005.01795v32020
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Huy Phan, Kaare Mikkelsen
eess.SPcs.AIcs.LGarXiv:2111.08446v32021
Improving Instruction-Following in Language Models through Activation Steering
Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi +2
cs.CLcs.AIcs.LGarXiv:2410.12877v22024
Ologs: a categorical framework for knowledge representation
David I. Spivak, Robert E. Kent
cs.LOcs.AImath.CTarXiv:1102.1889v22011
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
Stephen James, Andrew J. Davison
cs.ROcs.AIcs.CVarXiv:2105.14829v22021
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Jiacheng Liu, Sewon Min, Luke Zettlemoyer +2
cs.CLcs.AIcs.IRarXiv:2401.17377v42024
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai +5
cs.LGcs.AIstat.MLarXiv:1811.05869v12018
Building competitive direct acoustics-to-word models for English conversational speech recognition
Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran +2
cs.CLcs.AIcs.NEarXiv:1712.03133v12017
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders
David Chanin, James Wilken-Smith, Tomáš Dulka +3
cs.CLcs.AIarXiv:2409.14507v62024
HomeRobot: Open-Vocabulary Mobile Manipulation
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav +15
cs.ROcs.AIcs.CVarXiv:2306.11565v22023
Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi +2
cs.AIcs.CLarXiv:1811.10667v22018
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Junjie Li, Sotetsu Koyamada, Qiwei Ye +7
cs.AIarXiv:2003.13590v22020
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
Ildikó Pilán, Pierre Lison, Lilja Øvrelid +3
cs.CLcs.AIarXiv:2202.00443v22022
6D Rotation Representation For Unconstrained Head Pose Estimation
Thorsten Hempel, Ahmed A. Abdelrahman, Ayoub Al-Hamadi
cs.CVcs.AIcs.LGarXiv:2202.12555v22022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain, Amber Xie, Pieter Abbeel
cs.CVcs.AIcs.GRarXiv:2211.11319v12022
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio
cs.LGcs.AImath.OCarXiv:2306.06101v42023
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair, Chelsea Finn
cs.LGcs.AIcs.CVarXiv:1909.05829v12019
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
cs.LGcs.AIcs.HCarXiv:1809.07424v12018
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai, Shengbang Tong, Xiao Li +4
cs.CLcs.AIcs.LGarXiv:2309.10313v42023
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif +4
cs.DCcs.AIarXiv:2105.01798v22021
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak Bhattacharyya, Blake Wulfe, Derek Phillips +4
cs.AIarXiv:2006.06412v22020
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan, Amir Yazdanbakhsh
cs.CLcs.AIcs.LGarXiv:2209.07686v22022
Improve Vision Language Model Chain-of-thought Reasoning
Ruohong Zhang, Bowen Zhang, Yanghao Li +6
cs.AIcs.CVarXiv:2410.16198v12024

Artificial Intelligence

Nested conformal prediction and quantile out-of-bag ensemble methods

The Causal-Neural Connection: Expressiveness, Learnability, and Inference

X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs

Few-shot In-context Learning for Knowledge Base Question Answering

MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Large Language Models and the Reverse Turing Test

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

Formal Verification of Autonomous Vehicle Platooning

A Multi-Objective Deep Reinforcement Learning Framework

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models

A spelling correction model for end-to-end speech recognition

LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

Dynamic Multimodal Fusion

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method

SceneGen: Learning to Generate Realistic Traffic Scenes

OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks

Autonomous UAV Exploration of Dynamic Environments via Incremental Sampling and Probabilistic Roadmap

Customizable Contraction Hierarchies

Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning

The Vadalog System: Datalog-based Reasoning for Knowledge Graphs

LLM Agents can Autonomously Hack Websites

O1 Replication Journey: A Strategic Progress Report -- Part 1

LoMar: A Local Defense Against Poisoning Attack on Federated Learning

CITRIS: Causal Identifiability from Temporal Intervened Sequences

Reliable Conflictive Multi-View Learning

Understanding Optical Music Recognition

Fairlearn: Assessing and Improving Fairness of AI Systems

A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms

Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques

Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions

Improving Instruction-Following in Language Models through Activation Steering

Ologs: a categorical framework for knowledge representation

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Building competitive direct acoustics-to-word models for English conversational speech recognition

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders

HomeRobot: Open-Vocabulary Mobile Manipulation

Embedding Uncertain Knowledge Graphs

Suphx: Mastering Mahjong with Deep Reinforcement Learning

The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization

6D Rotation Representation For Unconstrained Head Pose Estimation

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Investigating the Catastrophic Forgetting in Multimodal Large Language Models

Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence

Modeling Human Driving Behavior through Generative Adversarial Imitation Learning

Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Improve Vision Language Model Chain-of-thought Reasoning