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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11,521 to 11,580 of 15,222

Language-based Trial and Error Falls Behind in the Era of Experience
Haoyu Wang, Guozheng Ma, Shugang Cui +7
cs.AIarXiv:2601.21754v32026
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash, Kashyap Chitta, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2104.09224v12021
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou +2
cs.CVcs.AIcs.LGarXiv:1904.05835v12019
RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
Arpit Singh Gautam, Saurabh Jha
cs.LGcs.AIarXiv:2603.17891v12026
Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs
Xinyuan Liu, Eren Sadikoglu, Riana Chatterjee +1
cs.ROcs.AIcs.MAarXiv:2608.22657v12026
Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules
Florian Rottach, Sebastian Schieferdecker, William Rudman +2
cs.LGcs.AIarXiv:2608.22642v12026
The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models
Taebong Kim, Youngsik Hong, Minsik Kim +3
cs.LGcs.AIarXiv:2608.22876v12026
Assessing Domain-Level Susceptibility to Emergent Misalignment from Narrow Finetuning
Abhishek Mishra, Mugilan Arulvanan, Reshma Ashok +3
cs.AIarXiv:2602.00298v12026
Universal Intelligence: A Definition of Machine Intelligence
Shane Legg, Marcus Hutter
cs.AIarXiv:0712.3329v12007
Scaling Small Agents Through Strategy Auctions
Lisa Alazraki, William F. Shen, Yoram Bachrach +1
cs.MAcs.AIcs.CLarXiv:2602.02751v32026
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Mel Vecerik, Todd Hester, Jonathan Scholz +7
cs.AIarXiv:1707.08817v22017
WideSeek: Advancing Wide Research via Multi-Agent Scaling
Ziyang Huang, Haolin Ren, Xiaowei Yuan +6
cs.CLcs.AIcs.IRarXiv:2602.02636v12026
FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights
Zhen Wang, Fan Bai, Zhongyan Luo +9
cs.AIarXiv:2602.02905v22026
Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization
Luca Della Libera, Cem Subakan, Mirco Ravanelli
cs.LGcs.AIcs.SDarXiv:2601.23174v22026
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari, Liangzhe Yuan, Rui Qian +4
cs.CVcs.AIcs.LGarXiv:2104.11178v32021
Coalition-Aware Skill Reliability for Self-Evolving Agents
Qiyan Zhao, Xiaofeng Zhang, Bo Liu +11
cs.AIarXiv:2608.22610v12026
Can LLM Agents Be CFOs? Benchmarking Long-Horizon Resource Allocation in an Uncertain Enterprise Environment
Yi Han, Yan Wang, Lingfei Qian +12
cs.AIarXiv:2603.23638v22026
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
Zhipeng Chen, Xiaobo Qin, Wayne Xin Zhao +2
cs.CLcs.AIarXiv:2602.00759v12026
Making Avatars Interact: Towards Text-Driven Human-Object Interaction for Controllable Talking Avatars
Youliang Zhang, Zhengguang Zhou, Zhentao Yu +11
cs.CVcs.AIcs.CLarXiv:2602.01538v12026
On the Limits of Layer Pruning for Generative Reasoning in Large Language Models
Safal Shrestha, Anubhav Shrestha, Aadim Nepal +2
cs.LGcs.AIarXiv:2602.01997v42026
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
Wei Liu, Peijie Yu, Michele Orini +2
cs.AIcs.CLcs.DBarXiv:2602.02039v22026
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker, Ingmar Kanitscheider, Todor Markov +4
cs.LGcs.AIcs.MAarXiv:1909.07528v22019
NetConfArena: An Executable Benchmark for LLM Agents in Closed-Loop Network Configuration
Chang Liu, Xiaohui Xie, Xinyi Chen +1
cs.NIcs.AIarXiv:2608.23179v12026
From Features to Actions: Explainability in Traditional and Agentic AI Systems
Sindhuja Chaduvula, Jessee Ho, Kina Kim +6
cs.AIarXiv:2602.06841v42026
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik
cs.CVcs.AIcs.CLarXiv:2308.09126v12023
ProAct: Agentic Lookahead in Interactive Environments
Yangbin Yu, Mingyu Yang, Junyou Li +9
cs.AIarXiv:2602.05327v12026
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Benjamin Warner, Antoine Chaffin, Benjamin Clavié +11
cs.CLcs.AIarXiv:2412.13663v22024
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
Hyeonbeom Choi, Daechul Ahn, Youhan Lee +3
cs.ROcs.AIcs.LGarXiv:2602.04208v22026
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta, Varun Tolani, James Davidson +3
cs.CVcs.AIcs.LGarXiv:1702.03920v32017
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye +1
cs.CVcs.AIarXiv:1807.10029v12018
A-CPES: A Reference Framework for Agentic AI in Cyber-Physical Energy Systems
Xiaoyu Zhang, Qiuye Sun, Jiachen Xu +2
cs.AIarXiv:2608.22672v12026
Language Chain in Alignment: Cross-Lingual Ranking Preference Optimization
Seungyoon Lee, Minhyuk Kim, Jungseob Lee +1
cs.CLcs.AIarXiv:2608.23149v12026
MemFly: On-the-Fly Memory Optimization via Information Bottleneck
Zhenyuan Zhang, Xianzhang Jia, Zhiqin Yang +4
cs.AIcs.LGarXiv:2602.07885v22026
Toward Effective and Reliable LLM Agents via Dynamic Ontology
Xiaohui Zhang, Zequn Sun, Chengyuan Yang +3
cs.AIarXiv:2608.22974v12026
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Yinggan Xu, Kajetan Schweighofer, Risto Miikkulainen +1
cs.LGcs.AIarXiv:2602.03120v22026
SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers
Keyang Xuan, Pengda Wang, Chongrui Ye +3
cs.AIcs.CLarXiv:2602.05115v12026
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
Tianyi Wu, Mingzhe Du, Yue Liu +4
cs.CRcs.AIcs.CLarXiv:2602.07422v12026
compar:IA: The French Government's LLM arena to collect French-language human prompts and preference data
Lucie Termignon, Simonas Zilinskas, Hadrien Pélissier +3
cs.CLcs.AIarXiv:2602.06669v12026
iGRPO: Self-Feedback-Driven LLM Reasoning
Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman +5
cs.AIarXiv:2602.09000v12026
Artificial Immune Systems
Uwe Aickelin, Dipankar Dasgupta
cs.AIcs.NEarXiv:0910.4899v12009
ChatGPT: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca +17
cs.CLcs.AIcs.CYarXiv:2302.10724v42023
RACO: Reliability-Aware Coarse-Goal Optimization for Inspection-Oriented UAV Vision-Language Navigation
Sen Wang, Yiming Sun, Jiaxuan He +1
cs.ROcs.AIcs.CVarXiv:2608.22678v12026
Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty
Yipeng Zhao, Qishun Yang, Shenzhe Zhu +2
cs.AIcs.CLarXiv:2608.23497v12026
Multimodal Fact-Level Attribution for Verifiable Reasoning
David Wan, Han Wang, Ziyang Wang +3
cs.CLcs.AIcs.CVarXiv:2602.11509v22026
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
cs.LGcs.AIcs.CLarXiv:1505.02074v42015
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
Chan Hee Song, Jiaman Wu, Clayton Washington +3
cs.AIcs.CLcs.CVarXiv:2212.04088v32022
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
Zelin He, Boran Han, Xiyuan Zhang +10
cs.LGcs.AIcs.CLarXiv:2602.19455v12026
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
cs.CVcs.AIstat.MLarXiv:1611.06194v22016
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti +3
cs.LGcs.AIstat.MLarXiv:2003.04960v22020
Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization
Jiachen Zhu, Lingyu Yang, Rong Shan +6
cs.AIcs.LGarXiv:2604.09574v12026
GEBench: Benchmarking Image Generation Models as GUI Environments
Haodong Li, Jingwei Wu, Quan Sun +14
cs.AIcs.CVarXiv:2602.09007v22026
Reasoning about Entailment with Neural Attention
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann +2
cs.CLcs.AIcs.LGarXiv:1509.06664v42015
ClinAlign: Scaling Healthcare Alignment from Clinician Preference
Shiwei Lyu, Xidong Wang, Lei Liu +6
cs.AIarXiv:2602.09653v22026
Learning to Configure Agentic AI Systems
Aditya Taparia, Som Sagar, Ransalu Senanayake
cs.AIarXiv:2602.11574v32026
Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers
Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer +1
cs.LGcs.AIarXiv:2602.18292v22026
Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System
Longfei Yun, Yihan Wu, Haoran Liu +11
cs.AIarXiv:2602.18640v22026
SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale
Jiaqi Liu, Maolin Ran, Xiaoyang Lu +5
cs.AIarXiv:2608.22725v12026
TAPE: Tool-Guided Adaptive Planning and Constrained Execution in Language Model Agents
Jongwon Jeong, Jungtaek Kim, Kangwook Lee
cs.AIarXiv:2602.19633v12026
The Art of Efficient Reasoning: Data, Reward, and Optimization
Taiqiang Wu, Zenan Xu, Bo Zhou +1
cs.CLcs.AIarXiv:2602.20945v32026

Artificial Intelligence

Language-based Trial and Error Falls Behind in the Era of Experience

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Variational Information Distillation for Knowledge Transfer

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference

Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs

Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules

The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models

Assessing Domain-Level Susceptibility to Emergent Misalignment from Narrow Finetuning

Universal Intelligence: A Definition of Machine Intelligence

Scaling Small Agents Through Strategy Auctions

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

WideSeek: Advancing Wide Research via Multi-Agent Scaling

FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights

Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

Coalition-Aware Skill Reliability for Self-Evolving Agents

Can LLM Agents Be CFOs? Benchmarking Long-Horizon Resource Allocation in an Uncertain Enterprise Environment

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning

Making Avatars Interact: Towards Text-Driven Human-Object Interaction for Controllable Talking Avatars

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models

Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models

Emergent Tool Use From Multi-Agent Autocurricula

NetConfArena: An Executable Benchmark for LLM Agents in Closed-Loop Network Configuration

From Features to Actions: Explainability in Traditional and Agentic AI Systems

EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding

ProAct: Agentic Lookahead in Interactive Environments

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models

Cognitive Mapping and Planning for Visual Navigation

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

A-CPES: A Reference Framework for Agentic AI in Cyber-Physical Energy Systems

Language Chain in Alignment: Cross-Lingual Ranking Preference Optimization

MemFly: On-the-Fly Memory Optimization via Information Bottleneck

Toward Effective and Reliable LLM Agents via Dynamic Ontology

Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost

SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model

compar:IA: The French Government's LLM arena to collect French-language human prompts and preference data

iGRPO: Self-Feedback-Driven LLM Reasoning

Artificial Immune Systems

ChatGPT: Jack of all trades, master of none

RACO: Reliability-Aware Coarse-Goal Optimization for Inspection-Oriented UAV Vision-Language Navigation

Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty

Multimodal Fact-Level Attribution for Verifiable Reasoning

Exploring Models and Data for Image Question Answering

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning

Expert Gate: Lifelong Learning with a Network of Experts

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization

GEBench: Benchmarking Image Generation Models as GUI Environments

Reasoning about Entailment with Neural Attention

ClinAlign: Scaling Healthcare Alignment from Clinician Preference

Learning to Configure Agentic AI Systems

Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale

TAPE: Tool-Guided Adaptive Planning and Constrained Execution in Language Model Agents

The Art of Efficient Reasoning: Data, Reward, and Optimization