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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23,941 to 24,000 of 27,178

Inquesto Score: A reliability Protocol For Voice Agents
Massa Baali, Bhiksha Raj
cs.CLcs.AIarXiv:2609.30514v12026
Large Language Models in Mental Health Care: a Scoping Review
Yining Hua, Fenglin Liu, Kailai Yang +9
cs.CLcs.AIarXiv:2401.02984v32024
Distillation Defenses Easily Break After Reinforcement Learning
Shidan Javaheri, Alexander Panfilov, Oliver Britton +2
cs.LGcs.AIcs.CRarXiv:2609.35699v12026
VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought
Chaoya Jiang, Yongrui Heng, Wei Ye +6
cs.CVcs.AIarXiv:2505.16192v22025
A social path to human-like artificial intelligence
Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang +2
cs.AIcs.LGarXiv:2405.15815v12024
GenSim: A General Social Simulation Platform with Large Language Model based Agents
Jiakai Tang, Heyang Gao, Xuchen Pan +11
cs.MAcs.AIarXiv:2410.04360v32024
Inducing anxiety in large language models can induce bias
Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish +3
cs.CLcs.AIcs.LGarXiv:2304.11111v22023
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries
Zhiqiang Lin, Huan Sun, Ness Shroff
cs.CYcs.AIcs.CRarXiv:2506.18932v12025
Identifying and Extracting Rare Disease Phenotypes with Large Language Models
Cathy Shyr, Yan Hu, Paul A. Harris +1
cs.CLcs.AIarXiv:2306.12656v12023
PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem
Mateo Toro Diz, Jonathan Hoss, Noah Klarmann
cs.LGcs.AIarXiv:2609.30948v12026
Subject-Invariant Cross-Modal Decoding of Perceived Speech from Brain Recordings
Aoke Zhang, Jing Chen
cs.SDcs.AIeess.ASarXiv:2609.30832v12026
Towards Effective Code-Integrated Reasoning
Fei Bai, Yingqian Min, Beichen Zhang +6
cs.CLcs.AIcs.LGarXiv:2505.24480v12025
Governed Deduction: Policy-Grounded Premise Authorization Beyond Relevance
Wesley Shu, Hsi-Ching Lin
cs.AIarXiv:2609.31029v12026
MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System
Sonu Kumar, Anubhav Girdhar, Ritesh Patil +1
cs.CRcs.AIarXiv:2504.12757v22025
OctoPack: Instruction Tuning Code Large Language Models
Niklas Muennighoff, Qian Liu, Armel Zebaze +7
cs.CLcs.AIarXiv:2308.07124v22023
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Ergan Shang, Flavio Sales Truzzi
cs.LGcs.AIarXiv:2608.18469v12026
Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria
Juanxi Tian, Fengyuan Liu, Jiaming Han +6
cs.AIarXiv:2605.08354v12026
Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
Haoran Ye, Jing Jin, Yuhang Xie +2
cs.CLcs.AIcs.HCarXiv:2505.08245v32025
Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
Ljubisa Bojic, Tijana Stanic, Joerg Matthes +3
cs.AIcs.CLcs.HCarXiv:2609.30563v12026
Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information
Zhen Zhou, Jiachen Li, Yuan Liu +2
q-bio.GNcs.AIarXiv:2609.02344v12026
Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen
Jiada Li, Xuesong Ye, Olamide Olowoniyi
cs.SEcs.AIcs.ETarXiv:2608.13884v12026
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz, Jan Leike, Tobias Pohlen +3
cs.LGcs.AIcs.NEarXiv:1811.06521v12018
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu, Kaihua Tang, Chunyan Miao +2
cs.AIarXiv:2103.01737v32021
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1
cs.LGcs.AIcs.CVarXiv:1708.05866v22017
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
Minrui Xu, Dusit Niyato, Jiawen Kang +5
cs.AIcs.NIarXiv:2401.07764v22024
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models
Shijie Zhou, Alexander Vilesov, Xuehai He +7
cs.CVcs.AIarXiv:2508.02095v22025
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4
Jiarui Yao, Ruida Wang, Tong Zhang
cs.CLcs.AIarXiv:2503.03238v22025
Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities
Haoyang Xie, Feng Ju
cs.AIcs.CVcs.LGarXiv:2505.06507v12025
Ontology Bulding vs Data Harvesting and Cleaning for Smart-city Services
Pierfrancesco Bellini, Paolo Nesi, Nadia Rauch
cs.DBcs.AIcs.CYarXiv:1508.01083v12015
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
Shubhra Kanti Karmaker Santu, Dongji Feng
cs.AIcs.CLcs.IRarXiv:2305.11430v22023
Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis
Jakub Masłowski, Jarosław A. Chudziak
cs.MAcs.AIcs.CLarXiv:2609.31422v12026
Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
Md Shohel Arman, Igor Molybog
cs.SEcs.AIcs.CLarXiv:2609.31587v12026
Towards VLA-Dreamer: Refining VLA Behavior Using World Models
Parsa Mastouri Kashani, Jan-Gerrit Habekost, Stefan Wermter
cs.ROcs.AIarXiv:2609.31313v12026
WorldSample: Closed-loop Real-robot RL with World Modelling
Yuquan Xue, Le Xu, Zeyi Liu +5
cs.ROcs.AIarXiv:2607.02431v12026
Automated Clinical Coding: What, Why, and Where We Are?
Hang Dong, Matúš Falis, William Whiteley +5
cs.CLcs.AIarXiv:2203.11092v32022
Self-Supervised Intrinsic Image Decomposition
Michael Janner, Jiajun Wu, Tejas D. Kulkarni +2
cs.CVcs.AIcs.GRarXiv:1711.03678v22017
Semantic Navigation for Issue Localization in Code Repository
Yunxiang Wei, Zhenyu Lei, Jundong Li
cs.AIarXiv:2609.31176v12026
SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
Zheng Li, Qingxiu Dong, Jingyuan Ma +3
cs.AIcs.CLarXiv:2505.11274v62025
Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
Anshuman Chhabra, Shrestha Datta, Shahriar Kabir Nahin +1
cs.AIarXiv:2510.23883v32025
Learning to Learn from Context: Synthetic Training from Perturbed Public Documents
Haoyi Wu, Yang Xiao, Yusong Sun +4
cs.CLcs.AIarXiv:2609.33642v12026
Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers
Atakan Işık, Selin Vulga Işık, Ahmet Feridun Işık +1
eess.AScs.AIcs.LGarXiv:2512.22564v12025
A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis
Jiachen Liu, Ziheng Geng, Ran Cao +3
cs.CLcs.AIarXiv:2507.02938v12025
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang, Wei-cheng Chang, Hsiang-fu Yu +1
cs.LGcs.AIcs.IRarXiv:2110.00685v22021
Chinese Poetry Generation with Planning based Neural Network
Zhe Wang, Wei He, Hua Wu +4
cs.CLcs.AIarXiv:1610.09889v22016
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
Haolin Jin, Zechao Sun, Huaming Chen
cs.SEcs.AIcs.CLarXiv:2410.01242v22024
Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment
Dilli Hang Rai
quant-phcs.AIcs.LGarXiv:2609.28491v12026
LLMatDesign: Autonomous Materials Discovery with Large Language Models
Shuyi Jia, Chao Zhang, Victor Fung
cond-mat.mtrl-scics.AIcs.CLarXiv:2406.13163v12024
Life Operators: a self-evolving framework for multiscale life modelling
Shuo Wang, Yike Guo
cs.CLcs.AIphysics.bio-pharXiv:2609.00068v12026
Transition1x -- a Dataset for Building Generalizable Reactive Machine Learning Potentials
Mathias Schreiner, Arghya Bhowmik, Tejs Vegge +2
physics.chem-phcs.AIphysics.comp-pharXiv:2207.12858v22022
Large Language Model Guided Self-Debugging Code Generation
Muntasir Adnan, Zhiwei Xu, Carlos C. N. Kuhn
cs.SEcs.AIarXiv:2502.02928v22025
Agent-as-a-Judge
Runyang You, Hongru Cai, Caiqi Zhang +5
cs.CLcs.AIarXiv:2601.05111v12026
UltraFeedback: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding +9
cs.CLcs.AIcs.LGarXiv:2310.01377v22023
Planning to Explore via Self-Supervised World Models
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis +3
cs.LGcs.AIcs.CVarXiv:2005.05960v22020
Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula
Vinoth Selvendran, Zhanming Zhang
cs.AIcs.LGarXiv:2608.30035v12026
HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning
Yibo Gong, Cong Guo, Jiacheng Ding
cs.LGcs.AIcs.HCarXiv:2608.29563v12026
Auditing Harness Tampering in Self-Improving Agents
Xing Wang, Xiaoyi Zhang, Jie Shao
cs.CLcs.AIarXiv:2609.00069v12026
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Wei Wen, Yuxiong He, Samyam Rajbhandari +6
cs.LGcs.AIcs.CLarXiv:1709.05027v72017
Search Still Matters: Information Retrieval in the Era of Generative AI
William R. Hersh
cs.IRcs.AIarXiv:2311.18550v22023
BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
Suhyun Kim, Jinmo Han, Danny Dongyeop Han +9
cs.SDcs.AIcs.LGarXiv:2609.31180v12026
Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models
Kieren Yu, Ziyang Liu, Chang Huang +2
cs.AIarXiv:2609.31167v12026

Artificial Intelligence

Inquesto Score: A reliability Protocol For Voice Agents

Large Language Models in Mental Health Care: a Scoping Review

Distillation Defenses Easily Break After Reinforcement Learning

VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought

A social path to human-like artificial intelligence

GenSim: A General Social Simulation Platform with Large Language Model based Agents

Inducing anxiety in large language models can induce bias

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries

Identifying and Extracting Rare Disease Phenotypes with Large Language Models

PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem

Subject-Invariant Cross-Modal Decoding of Perceived Speech from Brain Recordings

Towards Effective Code-Integrated Reasoning

Governed Deduction: Policy-Grounded Premise Authorization Beyond Relevance

MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System

OctoPack: Instruction Tuning Code Large Language Models

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement

Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content

Subcellularly Resolved Single-Cell Embedding Learning with Transcriptomic data, Protein Structure and Localization Information

Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen

Reward learning from human preferences and demonstrations in Atari

Distilling Causal Effect of Data in Class-Incremental Learning

A Brief Survey of Deep Reinforcement Learning

When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models

FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4

Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities

Ontology Bulding vs Data Harvesting and Cleaning for Smart-city Services

TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks

Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis

Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer

Towards VLA-Dreamer: Refining VLA Behavior Using World Models

WorldSample: Closed-loop Real-robot RL with World Modelling

Automated Clinical Coding: What, Why, and Where We Are?

Self-Supervised Intrinsic Image Decomposition

Semantic Navigation for Issue Localization in Code Repository

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

Learning to Learn from Context: Synthetic Training from Perturbed Public Documents

Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers

A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Chinese Poetry Generation with Planning based Neural Network

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance

Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment

LLMatDesign: Autonomous Materials Discovery with Large Language Models

Life Operators: a self-evolving framework for multiscale life modelling

Transition1x -- a Dataset for Building Generalizable Reactive Machine Learning Potentials

Large Language Model Guided Self-Debugging Code Generation

Agent-as-a-Judge

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Planning to Explore via Self-Supervised World Models

Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula

HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning

Auditing Harness Tampering in Self-Improving Agents

Learning Intrinsic Sparse Structures within Long Short-Term Memory

Search Still Matters: Information Retrieval in the Era of Generative AI

BAT-CLIP: Trimodal Alignment of Brain, Audio and Text

Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models