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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18,301 to 18,360 of 27,894

EvoSim: Learning to Model, Modeling to Learn
Yun-Wei Song, Jinkai Tao, Jun-Dong Zhang +3
cs.AIcs.CEarXiv:2610.11344v12026
Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang +3
cs.LGcs.AIcs.CLarXiv:2302.04269v12023
Test-Time Training with KV Binding Is Secretly Linear Attention
Junchen Liu, Sven Elflein, Or Litany +2
cs.LGcs.AIcs.CVarXiv:2602.21204v42026
TarMAC: Targeted Multi-Agent Communication
Abhishek Das, Théophile Gervet, Joshua Romoff +4
cs.LGcs.AIcs.MAarXiv:1810.11187v22018
G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design
Baoyun Zhao, He Wang, Liang Zeng
cs.AIarXiv:2602.08253v12026
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
Ziniu Hu, Ahmet Iscen, Chen Sun +6
cs.CVcs.AIarXiv:2212.05221v22022
Transition Matching Distillation for Fast Video Generation
Weili Nie, Julius Berner, Nanye Ma +3
cs.CVcs.AIcs.LGarXiv:2601.09881v22026
Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm
Jaehan Kim, Minkyoo Song, Seung Ho Na +1
cs.CLcs.AIcs.CRarXiv:2409.14119v32024
EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems
Jun Hou, Priya Pitre, Yi Fang +1
cs.AIarXiv:2609.01360v12026
AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
Sharareh Younesian, Wenwen Ouyang, Sina Rafati +11
cs.CLcs.AIcs.LGarXiv:2605.16819v12026
LocalMamba: Visual State Space Model with Windowed Selective Scan
Tao Huang, Xiaohuan Pei, Shan You +3
cs.CVcs.AIarXiv:2403.09338v12024
SpotEdit: Selective Region Editing in Diffusion Transformers
Zhibin Qin, Zhenxiong Tan, Zeqing Wang +2
cs.CVcs.AIarXiv:2512.22323v12025
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu
cs.LGcs.AIcs.DCarXiv:2602.08003v12026
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Ekin Akyürek, Mehul Damani, Adam Zweiger +5
cs.AIcs.CLcs.LGarXiv:2411.07279v22024
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
Dujian Ding, Ankur Mallick, Shaokun Zhang +7
cs.LGcs.AIcs.CLarXiv:2506.22716v12025
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Ryan Hoque, Ashwin Balakrishna, Ellen Novoseller +3
cs.ROcs.AIarXiv:2109.08273v12021
AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models
Rintaro Otsubo, Ryo Fujii, Reina Ishikawa +6
cs.CVcs.AIarXiv:2607.02269v12026
Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation
Hun Chang, Byunghee Cha, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2601.22904v22026
Learning Partially Observable Deterministic Action Models
Eyal Amir, Allen Chang
cs.AIarXiv:1401.3437v12014
$L^*LM$: Learning Automata from Examples using Natural Language Oracles
Marcell Vazquez-Chanlatte, Karim Elmaaroufi, Stefan J. Witwicki +2
cs.LGcs.AIcs.CLarXiv:2402.07051v22024
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
Sebastian Riedel
cs.AIarXiv:1206.3282v12012
DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems
Zehao Wang, Lanjun Wang, Shilong Jin +2
cs.AIarXiv:2609.04749v12026
Quantum machine learning beyond kernel methods
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup +3
quant-phcs.AIcs.LGarXiv:2110.13162v32021
SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
Yuwei Wan, Yixuan Liu, Aswathy Ajith +6
cs.CLcs.AIarXiv:2405.09939v22024
Formal Policy Enforcement for Real-World Agentic Systems
Nils Palumbo, Sarthak Choudhary, Jihye Choi +3
cs.CRcs.AIcs.MAarXiv:2602.16708v32026
WinoTS: Wavelet-based Self-Distillation for Time Series Models
Noam Major, Kathy Razmadze, Yoli Shavit
cs.LGcs.AIarXiv:2609.39337v12026
Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
cs.MAcs.AIcs.LGarXiv:1807.06613v32018
From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
Hamed Jafarzadeh Asl, Yuanhao Yu, Vahid Partovi Nia
cs.LGcs.AIcs.CLarXiv:2609.09476v12026
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
Zhi Chen, Zhensu Sun, Yuling Shi +4
cs.SEcs.AIarXiv:2602.07900v22026
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Guibin Zhang, Hejia Geng, Xiaohang Yu +22
cs.AIcs.CLarXiv:2509.02547v52025
Scratchy: Visual-Scratchpad Multimodal Reasoning for Cryptographic Proof Generation in EasyCrypt
Yupeng Ren, Zhaoxuan Li, Rui Zhang
cs.CRcs.AIarXiv:2609.06226v12026
Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training
Linjia Kang, Zhimin Wang, Yongkang Zhang +5
cs.AIarXiv:2601.22781v12026
Post-Training Leaves Behavioral Shadows on Unrelated Decisions
Ziyang Zhang, Yubin Jing, Yuanhao Zeng +3
cs.CLcs.AIcs.LGarXiv:2609.29233v12026
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications
Giuseppe De Giacomo, Luca Iocchi, Marco Favorito +1
cs.LGcs.AIstat.MLarXiv:1807.06333v22018
Rank-Then-Act: Reward-Free Control from Frame-Order Progress
Yuriy Maksyuta, George Bredis, Ruslan Rakhimov +1
cs.LGcs.AIarXiv:2607.01897v12026
ChemLLM: A Chemical Large Language Model
Di Zhang, Wei Liu, Qian Tan +12
cs.AIcs.CLarXiv:2402.06852v22024
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks
Victor Dibia, Çağatay Demiralp
cs.HCcs.AIcs.LGarXiv:1804.03126v32018
Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades
Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju
cs.AIcs.CRcs.LGarXiv:2609.01345v22026
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, Armand Joulin
cs.CVcs.AIcs.LGarXiv:2109.08141v12021
In-Hand Object Rotation via Rapid Motor Adaptation
Haozhi Qi, Ashish Kumar, Roberto Calandra +2
cs.ROcs.AIcs.CVarXiv:2210.04887v12022
Visual Persuasion: What Influences Decisions of Vision-Language Models?
Manuel Cherep, Pranav M R, Pattie Maes +1
cs.CVcs.AIarXiv:2602.15278v22026
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen
cs.CVcs.AIcs.LGarXiv:2410.05760v22024
Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing
Jiahe Geng, Jinpeng Wang, Kun Yuan
cs.AIarXiv:2609.04915v12026
AmbigQA: Answering Ambiguous Open-domain Questions
Sewon Min, Julian Michael, Hannaneh Hajishirzi +1
cs.CLcs.AIarXiv:2004.10645v22020
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov +1
cs.LGcs.AIcs.ROarXiv:1703.02660v22017
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Jianlv Chen, Shitao Xiao, Peitian Zhang +3
cs.CLcs.AIcs.LGarXiv:2402.03216v52024
Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models
Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien
cs.AIcs.CLarXiv:2505.20087v12025
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig +2
cs.AIarXiv:1907.08194v22019
Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
Zhenting Qi, Huangyuan Su, Ao Qu +13
cs.CLcs.AIcs.MAarXiv:2606.02859v12026
Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar +1
cs.LGcs.AIcs.MAarXiv:1703.02702v12017
Signal-Routed Temperature Scaling: Low-Capacity Risk-Conditioned Calibration for Small Validation Budgets
Wenhao Liang, Liangwei Nathan Zheng, Lin Yue +4
cs.LGcs.AIarXiv:2609.38936v12026
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac
cs.AIcs.CLcs.LGarXiv:2402.06529v42024
Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning
Kai Chen, Jifeng Ding, Ning Ding +44
cs.AIarXiv:2608.14290v12026
Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations
Xinchen Yan, Jasmine Hsu, Mohi Khansari +5
cs.ROcs.AIcs.CVarXiv:1708.07303v42017
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini, Ivan Marisca, Cesare Alippi
cs.LGcs.AIarXiv:2108.00298v32021
DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration
Yingda Shen, Yuxiang Wang, Kunyu Feng +7
cs.AIcs.SDarXiv:2610.11299v12026
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes +6
cs.LGcs.AIcs.NEarXiv:2509.24372v32025
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
Chengyi Yang, Zhishang Xiang, Yunbo Tang +5
cs.LGcs.AIcs.CLarXiv:2601.22628v12026
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma +1
cs.LGcs.AIcs.CRarXiv:1810.12188v12018
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +571
cs.CLcs.AIcs.LGarXiv:2606.15007v12026

Artificial Intelligence

EvoSim: Learning to Model, Modeling to Learn

Diagnosing and Rectifying Vision Models using Language

Test-Time Training with KV Binding Is Secretly Linear Attention

TarMAC: Targeted Multi-Agent Communication

G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design

REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory

Transition Matching Distillation for Fast Video Generation

Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm

EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents

LocalMamba: Visual State Space Model with Windowed Selective Scan

SpotEdit: Selective Region Editing in Diffusion Transformers

Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning

AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models

Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation

Learning Partially Observable Deterministic Action Models

$L^*LM$: Learning Automata from Examples using Natural Language Oracles

Improving the Accuracy and Efficiency of MAP Inference for Markov Logic

DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems

Quantum machine learning beyond kernel methods

SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation

Formal Policy Enforcement for Real-World Agentic Systems

WinoTS: Wavelet-based Self-Distillation for Time Series Models

Deep Reinforcement Learning for Swarm Systems

From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Scratchy: Visual-Scratchpad Multimodal Reasoning for Cryptographic Proof Generation in EasyCrypt

Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training

Post-Training Leaves Behavioral Shadows on Unrelated Decisions

Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

Rank-Then-Act: Reward-Free Control from Frame-Order Progress

ChemLLM: A Chemical Large Language Model

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades

An End-to-End Transformer Model for 3D Object Detection

In-Hand Object Rotation via Rapid Motor Adaptation

Visual Persuasion: What Influences Decisions of Vision-Language Models?

Training-free Diffusion Model Alignment with Sampling Demons

Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing

AmbigQA: Answering Ambiguous Open-domain Questions

Towards Generalization and Simplicity in Continuous Control

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models

Neural Probabilistic Logic Programming in DeepProbLog

Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions

Robust Adversarial Reinforcement Learning

Signal-Routed Temperature Scaling: Low-Capacity Risk-Conditioned Calibration for Small Validation Budgets

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity

Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning

Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

TTCS: Test-Time Curriculum Synthesis for Self-Evolving

Adversarial Attacks on Stochastic Bandits

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning