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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18,361 to 18,420 of 27,875

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Jiabo Ye, Anwen Hu, Haiyang Xu +10
cs.CLcs.AIarXiv:2307.02499v12023
From Data to Behavior: Predicting Unintended Model Behaviors Before Training
Mengru Wang, Zhenqian Xu, Junfeng Fang +4
cs.LGcs.AIcs.CLarXiv:2602.04735v12026
LongCat-Flash Technical Report
Meituan LongCat Team, Bayan, Bei Li +179
cs.CLcs.AIcs.DCarXiv:2509.01322v22025
Benchmarking Vision Language Models for Cultural Understanding
Shravan Nayak, Kanishk Jain, Rabiul Awal +5
cs.CVcs.AIcs.CLarXiv:2407.10920v32024
ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
Qizhi Pei, Zhuoshi Pan, Honglin Lin +6
cs.LGcs.AIcs.CLarXiv:2509.21070v12025
Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards
Kirill Pavlenko, Alexander Golubev, Simon Karasik +1
cs.LGcs.AIcs.CLarXiv:2602.10231v12026
PROOF: Profiling Reliability of Object-Level Facts in Large Language Models
Andrei Chetvergov, Mikhail Solovev, Timofei Sivoraksha +4
cs.CLcs.AIarXiv:2609.29504v12026
AI with Emotions: Exploring Emotional Expressions in Large Language Models
Shin-nosuke Ishikawa, Atsushi Yoshino
cs.AIarXiv:2504.14706v22025
Bigger Text Encoders Can Hurt CLIP Zero-Shot Performance
Samir Char, Carles Domingo-Enrich, Randall Balestriero
cs.CVcs.AIarXiv:2609.05730v12026
Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation
Jarrod Barnes
cs.LGcs.AIarXiv:2602.07670v12026
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak +1
stat.MLcs.AIcs.LGarXiv:1803.05649v22018
Small Language Models are the Future of Agentic AI
Peter Belcak, Greg Heinrich, Shizhe Diao +5
cs.AIarXiv:2506.02153v22025
Contrastive Embedding for Generalized Zero-Shot Learning
Zongyan Han, Zhenyong Fu, Shuo Chen +1
cs.CVcs.AIarXiv:2103.16173v12021
Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages
Libo Qin, Qiguang Chen, Fuxuan Wei +2
cs.CLcs.AIarXiv:2310.14799v12023
Zero-Shot Self-Orchestration with Ledger-Based Control for Improved LLM Coding Performance
Victor Gao, Vida Khosrowshahi, Ali Khosrowshahi +4
cs.MAcs.AIcs.CLarXiv:2608.26480v12026
ORB-SVM : An Innovative Hybrid Framework for Efficient Brain Tumor Detection from MRI Scans
Amirhosein Azarpour
cs.CVcs.AIarXiv:2609.02333v12026
How AI Agents Discover Scientific Equations: From Hydrotope Rediscovery to New Water-Wave Amplitudes
Zihan Zhou, Digvijay Wadekar, Matias Zaldarriaga
hep-thcs.AIarXiv:2610.00435v12026
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu, Jinghan Yao, Junge Zhang +6
cs.CVcs.AIcs.LGarXiv:2110.11945v32021
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Shiyang Feng, Runmin Ma, Xiangchao Yan +54
cs.AIarXiv:2602.08990v12026
AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production
Jiuniu Wang, Zehua Du, Yuyuan Zhao +9
cs.CVcs.AIcs.MMarXiv:2403.07952v12024
Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use
Song-Lin Lv, Weiming Wu, Rui Zhu +2
cs.AIarXiv:2607.01084v12026
4DStreamCtrl: Interactive Video Generation with Online 4D Control
Shiqian Li, Chenguo Lin, Zhiguang Liu +4
cs.CVcs.AIarXiv:2608.25479v12026
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control
Ken Huang, Vineeth Sai Narajala, John Yeoh +6
cs.CRcs.AIcs.MAarXiv:2505.19301v22025
Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems
Tony Feng, Trieu Trinh, Garrett Bingham +21
cs.AImath.COmath.NTarXiv:2601.22401v32026
Closing the Learning-Planning Loop with Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
cs.LGcs.AIarXiv:0912.2385v12009
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Victor Dibia
cs.AIcs.HCcs.PLarXiv:2303.02927v32023
Intent Drift at SME Scale: Deployment Practice, Not Model Capability, Determines Agentic Compliance
Ilia Voroshilov
cs.CYcs.AIarXiv:2609.05975v12026
Diff Mining: Logit Differences Reveal Finetuning Objectives
Greg Kocher, Robert West, Clément Dumas +1
cs.LGcs.AIcs.CLarXiv:2608.26462v12026
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
Ruomeng Ding, Tianwei Gao, Thomas P. Zollo +3
cs.LGcs.AIcs.CLarXiv:2602.14279v22026
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Bo Peng, Daniel Goldstein, Quentin Anthony +27
cs.CLcs.AIarXiv:2404.05892v42024
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
Xuanqing Liu, Tesi Xiao, Si Si +3
cs.LGcs.AIcs.CVarXiv:1906.02355v12019
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
cs.CLcs.AIcs.LGarXiv:1607.08723v42016
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare, Georg Ostrovski, Arthur Guez +2
cs.AIcs.LGarXiv:1512.04860v12015
AdaST: Adaptive Coupling for Spatial-Temporal Forecasting
Zhenyu Lei, Chenghao Liu, Yushun Dong +2
cs.AIarXiv:2609.36119v12026
DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction
Jiawen Liu, Xuechenxiao Cao, Yutong Li +5
cs.LGcs.AIarXiv:2608.23114v12026
AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management
Ruoyao Wen, Hao Li, Chaowei Xiao +1
cs.CRcs.AIarXiv:2602.07398v12026
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
Chenglei Yu, Chuanrui Wang, Bangyan Liao +1
q-bio.QMcs.AIarXiv:2602.07103v12026
Reinforced Latent Reasoning for LLM-based Recommendation
Yang Zhang, Wenxin Xu, Xiaoyan Zhao +4
cs.AIarXiv:2505.19092v22025
Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior
Nazmul Haque, Md Asif Raihan. Md. Hadiuzzaman
cs.LGcs.AIarXiv:2610.11252v12026
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov +1
cs.LGcs.AIarXiv:2302.02948v42023
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
Amit Roth, Ankur Samanta, Matan Halevy +2
cs.LGcs.AIarXiv:2605.20744v12026
Deep Learning for Brain Age Estimation: A Systematic Review
M. Tanveer, M. A. Ganaie, Iman Beheshti +7
eess.IVcs.AIcs.CVarXiv:2212.03868v12022
VISTA: View-Consistent Self-Verified Training for GUI Grounding
Xinyu Qiu, Yunzhu Zhang, Heng Jia +3
cs.AIarXiv:2606.14579v12026
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow, Ofir Nachum, Edgar Duenez-Guzman +1
cs.LGcs.AIstat.MLarXiv:1805.07708v12018
Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval
Kishore Konda
cs.IRcs.AIarXiv:2608.22980v12026
From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use
Rongfeng Guo, Yinxuan Huang, Yusen Wu +5
cs.AIcs.SEarXiv:2608.24368v12026
Analysis of Respiratory Sinus Arrhythmia with Neural Networks
Julian Szymanski, Patryk Orkisz, Higinio Mora
cs.LGcs.AIarXiv:2609.05698v12026
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
Haojie Shi, Bo Zhou, Hongsheng Zeng +6
cs.ROcs.AIarXiv:2109.06409v22021
Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States
Yurun Yuan, Tengyang Xie
cs.LGcs.AIcs.CLarXiv:2603.19987v12026
Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle
Happy Bhati
cs.SEcs.AIarXiv:2609.04681v12026
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer +4
cs.CLcs.AIcs.CVarXiv:2402.05602v22024
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang, Huajian Xin, Chuanyang Zheng +11
cs.AIarXiv:2310.00656v32023
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
Pengrui Han, Xueqiang Xu, Keyang Xuan +12
cs.AIcs.CLcs.LGarXiv:2602.07276v12026
VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval
Issar Tzachor, Dvir Samuel, Rami Ben-Ari
cs.CVcs.AIarXiv:2602.08099v12026
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Pengcheng Jiang, Zhiyi Shi, Kelly Hong +5
cs.AIcs.CLcs.IRarXiv:2606.02373v12026
Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document Authoring
Cheng Yu, Nikhil Mathew, Zhengjie Wang
cs.AIcs.IRarXiv:2608.20786v12026
Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity
Zheyuan Hu, Weitao Chen, Cengiz Öztireli +2
cs.CEcs.AIcs.LGarXiv:2602.07970v32026
Squeeze-Release: Iterative Pruning with Exact Structural Minimization
Roman Denkin, Ida Akerholm, Prashant Singh +1
cs.LGcs.AIarXiv:2606.14346v12026
AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC
Yijie Bian, Kai Zhang, Wei Guo +4
cs.AIcs.MAarXiv:2609.39964v12026
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Osazuwa Ness, John Guttag +1
cs.CLcs.AIcs.LGarXiv:2504.14150v22025

Artificial Intelligence

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

LongCat-Flash Technical Report

Benchmarking Vision Language Models for Cultural Understanding

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning

Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards

PROOF: Profiling Reliability of Object-Level Facts in Large Language Models

AI with Emotions: Exploring Emotional Expressions in Large Language Models

Bigger Text Encoders Can Hurt CLIP Zero-Shot Performance

Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation

Sylvester Normalizing Flows for Variational Inference

Small Language Models are the Future of Agentic AI

Contrastive Embedding for Generalized Zero-Shot Learning

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages

Zero-Shot Self-Orchestration with Ledger-Based Control for Improved LLM Coding Performance

ORB-SVM : An Innovative Hybrid Framework for Efficient Brain Tumor Detection from MRI Scans

How AI Agents Discover Scientific Equations: From Hydrotope Rediscovery to New Water-Wave Amplitudes

SOFT: Softmax-free Transformer with Linear Complexity

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production

Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use

4DStreamCtrl: Interactive Video Generation with Online 4D Control

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control

Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems

Closing the Learning-Planning Loop with Predictive State Representations

LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Intent Drift at SME Scale: Deployment Practice, Not Model Capability, Determines Agentic Compliance

Diff Mining: Logit Differences Reveal Finetuning Objectives

Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner

Increasing the Action Gap: New Operators for Reinforcement Learning

AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction

AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction

Reinforced Latent Reasoning for LLM-based Recommendation

Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior

Efficient Online Reinforcement Learning with Offline Data

Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale

Deep Learning for Brain Age Estimation: A Systematic Review

VISTA: View-Consistent Self-Verified Training for GUI Grounding

A Lyapunov-based Approach to Safe Reinforcement Learning

Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval

From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use

Analysis of Respiratory Sinus Arrhythmia with Neural Networks

Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion

Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States

Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers

LEGO-Prover: Neural Theorem Proving with Growing Libraries

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs

VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document Authoring

Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity

Squeeze-Release: Iterative Pruning with Exact Structural Minimization

AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations