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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2,581 to 2,640 of 15,404

ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models
Zhengshu Zhang, Zhiyuan Li
cs.AIcs.LGcs.ROarXiv:2609.05461v12026
TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model
Anqi Li, Yuxin Chen, Zhaobo Li +4
cs.ROcs.AIarXiv:2609.09158v12026
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
Yuxing Lu, Yicheng Chen, Shanchan Wu +1
cs.AIcs.CLcs.MAarXiv:2609.09153v12026
AutoFyn Technical Report: Non-Parametric Expert Iteration for Long-Horizon Agents
Adib Hasan, Daniel Schaffield, Akashnil Dutta +1
cs.AIarXiv:2609.05446v12026
Reason Through the Latent! Making Latent Visual Reasoning Necessary
Suhyeong Park, Junha Jung, Jaewoo Kang
cs.AIcs.CLcs.CVarXiv:2609.06746v12026
Compiling VGDL into Causal Models
Mohit Jiwatode, Bodo Rosenhahn, Alexander Dockhorn
cs.AIarXiv:2609.05459v12026
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
Dhruv Shah, Michael Equi, Blazej Osinski +3
cs.ROcs.AIcs.CLarXiv:2310.10103v12023
Damage-Aware Bandit Pruning for Vision and Language Transformers
Salem Ameen, Sunil Vadera
cs.AIcs.LGarXiv:2609.05448v12026
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Zipeng Fu, Ashish Kumar, Jitendra Malik +1
cs.ROcs.AIcs.CVarXiv:2111.01674v12021
Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints
Paul-Peter Arslan
cs.AIcs.MAarXiv:2608.06949v12026
When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents
Shweta Mishra, Shashank Mishra
cs.AIarXiv:2609.05441v12026
CriticGen: Generation-Aware Evaluation as Actionable Feedback
Huifang Du, Zecheng Zuo, Sen Wang +3
cs.AIarXiv:2609.05439v12026
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices
Siwei Zhang, Qianli Ma, Yan Zhang +5
cs.CVcs.AIarXiv:2112.07642v32021
Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models
Sunny Rai, Jinyi Kuang, Reyhan Jamalova +7
cs.AIcs.CYarXiv:2609.05437v12026
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
Chengshu Li, Ruohan Zhang, Josiah Wong +32
cs.ROcs.AIarXiv:2403.09227v12024
Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges
Yisong Chen, Yifan Gao, Sijing Yu +2
cs.AIarXiv:2608.18080v12026
Steering Geometry: Validating Human Value Geometry in LLM Steering Space
Mohammad Mahdi Abootorabi, Armin Saghafian, Ali Bazshoushtari +5
cs.CLcs.AIcs.LGarXiv:2609.06289v12026
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen, Tsui-Wei Weng
cs.CVcs.AIcs.LGarXiv:2204.10965v52022
AFRA: Argumentation framework with recursive attacks
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +1
cs.AIarXiv:1810.04886v12018
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento, Pedro Saleiro, André F. Cruz +2
cs.LGcs.AIarXiv:2012.00073v22020
Black-box Explanation of Object Detectors via Saliency Maps
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha +4
cs.CVcs.AIcs.LGarXiv:2006.03204v22020
Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks
Hongbang Yuan, Zhuoran Jin, Yixin Cao
cs.LGcs.AIcs.CLarXiv:2609.08404v12026
A Unified Physics-Aware Quantum Machine Learning Framework across Power GaN HEMTs and Logic Nanowire FETs: Predicting Unseen Process Splits and Held-Out Geometry Combinations with Lower Error and Tighter Split-to-Split Variability
Rushat Rai, Yun-Yuan Wang, Autsada Kakaen +10
cs.AIarXiv:2609.05251v12026
Unsupervised Depth Completion from Visual Inertial Odometry
Alex Wong, Xiaohan Fei, Stephanie Tsuei +1
cs.CVcs.AIcs.LGarXiv:1905.08616v42019
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Bingliang Zhang, Wenda Chu, Julius Berner +3
cs.LGcs.AIcs.CVarXiv:2407.01521v32024
Learning State Representations for Query Optimization with Deep Reinforcement Learning
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1
cs.DBcs.AIcs.LGarXiv:1803.08604v12018
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen, Chengtao Li, Hanjun Dai +1
cs.LGcs.AIstat.MLarXiv:2006.15820v12020
Kalman Delta Networks: Uncertainty-aware Associative Memory
Ngoc Bui, Tinglin Huang, Rex Ying
cs.LGcs.AIarXiv:2609.07816v12026
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets
T. J. Barton, Chris Constantakis, Patti Hauseman +4
cs.AIcs.CEcs.MAarXiv:2609.05663v12026
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities
Wei Lu, Rachel K. Luu, Markus J. Buehler
cs.CLcond-mat.mtrl-scics.AIarXiv:2409.03444v12024
A survey on intrinsic motivation in reinforcement learning
Arthur Aubret, Laetitia Matignon, Salima Hassas
cs.LGcs.AIarXiv:1908.06976v22019
Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice
Ellison B. Weiner, Irene Dankwa-Mullan, William A. Nelson +1
cs.CYcs.AIarXiv:2412.03576v12024
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe, Ana Marasović
cs.CLcs.AIcs.LGarXiv:2102.12060v42021
BLEU might be Guilty but References are not Innocent
Markus Freitag, David Grangier, Isaac Caswell
cs.CLcs.AIcs.LGarXiv:2004.06063v22020
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
Ling Fu, Zhebin Kuang, Jiajun Song +21
cs.CVcs.AIarXiv:2501.00321v22024
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban, Oliver Staeck, Yinchong Yang +1
cs.LGcs.AIcs.NEarXiv:1602.02685v22016
Efficient Algorithms for Outlier-Robust Regression
Adam Klivans, Pravesh K. Kothari, Raghu Meka
cs.LGcs.AIcs.DSarXiv:1803.03241v32018
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
Niki van Stein, Thomas Bäck
cs.NEcs.AIarXiv:2405.20132v42024
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen +39
q-bio.QMcs.AIcs.LGarXiv:2409.11654v22024
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
Weina Jin, Xiaoxiao Li, Mostafa Fatehi +1
cs.LGcs.AIcs.CVarXiv:2202.10553v32022
Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning
Ye-Chan Kim, Seunghee Choi, SeungJu Cha +4
cs.CVcs.AIarXiv:2609.04183v12026
Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR
Boyan Li, Bingsen Chen, Chenghao Yang +3
cs.CLcs.AIcs.LGarXiv:2609.04108v22026
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu, Chao Yu, Fei Fang +2
cs.AIcs.LGcs.MAarXiv:2310.18940v42023
SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents
Xin He, Yanlin Wang, Mingwei Liu +3
cs.SEcs.AIarXiv:2609.04167v12026
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie, Yang Zhang, Ankit Patel
cs.CVcs.AIarXiv:1805.07039v42018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao +6
cs.LGcs.AIstat.MLarXiv:1808.01664v32018
ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize
Lihao Liu, Peng Tang, Kunwar Yashraj Singh +1
cs.CLcs.AIarXiv:2609.04197v12026
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies
Yair Weiss, Chen Yanover, Talya Meltzer
cs.AIcs.LGstat.MLarXiv:1206.5286v12012
Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views
Joseph Lee, Yidi Huang, Dokyoon Kim +2
cs.CLcs.AIarXiv:2609.04180v12026
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
Hui Ma, Jian Wang, Hongfei Lin +3
cs.AIcs.MMarXiv:2310.20494v12023
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Francis Song, Edward Hughes +5
cs.MAcs.AIcs.LGarXiv:1811.01458v32018
SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center
Uday Vallabhaneni, Cassie L. Cagwin, David J. Wild
cs.CRcs.AIarXiv:2609.04159v12026
Deep Network Guided Proof Search
Sarah Loos, Geoffrey Irving, Christian Szegedy +1
cs.AIcs.LGcs.LOarXiv:1701.06972v12017
A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle
Gustavo Claudio Karl Couto, Eric Aislan Antonelo, Gabriel George Zipperer
cs.LGcs.AIcs.ROarXiv:2609.04147v12026
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau, Felix Hill, Jan Leike +4
cs.AIcs.LGarXiv:1806.01946v42018
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
cs.LGcs.AIstat.MLarXiv:2009.01721v22020
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu +1
cs.AIarXiv:1811.00090v42018
Federated Unsupervised Representation Learning
Fengda Zhang, Kun Kuang, Zhaoyang You +6
cs.LGcs.AIarXiv:2010.08982v12020
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji +3
cs.LGcs.AIcs.CVarXiv:2101.08482v22021
Representational alignment yields generalizable safety in language models
Lingyu Li, Yan Teng, Yingchun Wang +1
cs.CLcs.AIarXiv:2609.04022v12026

Artificial Intelligence

ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models

TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model

Procedural Graphs: Self-Evolving Execution Structures for LLM Agents

AutoFyn Technical Report: Non-Parametric Expert Iteration for Long-Horizon Agents

Reason Through the Latent! Making Latent Visual Reasoning Necessary

Compiling VGDL into Causal Models

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning

Damage-Aware Bandit Pruning for Vision and Language Transformers

Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots

Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints

When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents

CriticGen: Generation-Aware Evaluation as Actionable Feedback

EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices

Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges

Steering Geometry: Validating Human Value Geometry in LLM Steering Space

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

AFRA: Argumentation framework with recursive attacks

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

Black-box Explanation of Object Detectors via Saliency Maps

Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks

A Unified Physics-Aware Quantum Machine Learning Framework across Power GaN HEMTs and Logic Nanowire FETs: Predicting Unseen Process Splits and Held-Out Geometry Combinations with Lower Error and Tighter Split-to-Split Variability

Unsupervised Depth Completion from Visual Inertial Odometry

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Learning State Representations for Query Optimization with Deep Reinforcement Learning

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

Kalman Delta Networks: Uncertainty-aware Associative Memory

What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets

Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

A survey on intrinsic motivation in reinforcement learning

Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice

Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing

BLEU might be Guilty but References are not Innocent

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

Efficient Algorithms for Outlier-Robust Regression

LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities

Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis

Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning

Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents

A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations

Structured Adversarial Attack: Towards General Implementation and Better Interpretability

ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies

Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views

A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center

Deep Network Guided Proof Search

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

Learning to Understand Goal Specifications by Modelling Reward

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints

SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Federated Unsupervised Representation Learning

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Representational alignment yields generalizable safety in language models

Retro: Learning Retrosynthetic Planning with Neural Guided A Search