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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481 to 540 of 15,190

Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners
David Milec, Spyridon Samothrakis, Michael Fairbank +1
cs.LGcs.AIarXiv:2609.03660v12026
ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations
Peiying Zhu, Sidi Chang
cs.AIcs.CRcs.MAarXiv:2609.01992v12026
Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction
Haoting Zhang, Haoxian Chen, Jiayuan Sheng +4
cs.AIarXiv:2608.30050v12026
ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond
Mingming Zhao, Jiqian Dong, Kangping Xu +16
cs.AIarXiv:2608.14354v12026
AutoWorldModel-Bench: A State-Centric Benchmark for Automated World-Model Research
Marjan Moodi, Xuankang Zhu, Fernando De Mesentier Silva +2
cs.AIarXiv:2608.11216v12026
From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement
Qinsi Wang, Jing Shi, Huazheng Wang +8
cs.AIarXiv:2607.23802v22026
KWBench: Measuring Unprompted Problem Recognition in Knowledge Work
Ankit Maloo
cs.AIcs.GTarXiv:2604.15760v12026
Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs
Nimrod Shabtay, Moshe Kimhi, Artem Spector +5
cs.CVcs.AIarXiv:2603.16932v12026
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Hongye Jin, Xiaotian Han, Jingfeng Yang +5
cs.CLcs.AIcs.LGarXiv:2401.01325v32024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu, Tri Dao
cs.LGcs.AIarXiv:2312.00752v22023
Summaries:한국어
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang +9
cs.LGcs.AIcs.CLarXiv:2302.06675v42023
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Kirk, Yennie Jun, Haider Iqbal +5
cs.CLcs.AIarXiv:2102.04130v32021
Transfer Learning for Named-Entity Recognition with Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
cs.CLcs.AIcs.NEarXiv:1705.06273v12017
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
cs.LGcs.AIstat.MLarXiv:2006.07500v32020
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Inclusion AI, :, Bowen Ma +73
cs.CVcs.AIarXiv:2510.24821v32025
When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
Zhuoran Zhang, Tengyue Wang, Xilin Gong +4
cs.AIarXiv:2511.02243v12025
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Heechang Ryu, Hayong Shin, Jinkyoo Park
cs.LGcs.AIcs.MAarXiv:1909.12557v22019
Shaping capabilities with token-level data filtering
Neil Rathi, Alec Radford
cs.LGcs.AIcs.CLarXiv:2601.21571v22026
Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck, Lejs Behric +8
cs.LGcs.AIarXiv:2601.20802v22026
Agentic Reasoning for Large Language Models
Tianxin Wei, Ting-Wei Li, Zhining Liu +26
cs.AIcs.CLarXiv:2601.12538v12026
ExpSeek: Self-Triggered Experience Seeking for Web Agents
Wenyuan Zhang, Xinghua Zhang, Haiyang Yu +5
cs.CLcs.AIarXiv:2601.08605v22026
StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management
Ruizhe Zhang, Xinke Jiang, Zhibang Yang +12
cs.AIarXiv:2601.05890v22026
Stronger Normalization-Free Transformers
Mingzhi Chen, Taiming Lu, Jiachen Zhu +2
cs.LGcs.AIcs.CLarXiv:2512.10938v22025
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu, Bo Yang, Guangchi Fang +4
cs.CVcs.AIcs.ROarXiv:2104.04891v32021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong, Kristy Lee, Zheng Zhang +1
cs.CLcs.AIarXiv:2104.04670v52021
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun +22
cs.AIarXiv:2507.02825v52025
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Bo Liu, Leon Guertler, Simon Yu +9
cs.AIcs.CLcs.LGarXiv:2506.24119v32025
Improving and Simplifying Pattern Exploiting Training
Derek Tam, Rakesh R Menon, Mohit Bansal +2
cs.CLcs.AIcs.LGarXiv:2103.11955v32021
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath +5
cs.LGcs.AIcs.CLarXiv:2103.03874v22021
Counterfactual Zero-Shot and Open-Set Visual Recognition
Zhongqi Yue, Tan Wang, Hanwang Zhang +2
cs.CVcs.AIarXiv:2103.00887v12021
Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models
James Chua, Jan Betley, Mia Taylor +1
cs.LGcs.AIcs.CLarXiv:2506.13206v22025
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
Jinyoung Park, Jeehye Na, Jinyoung Kim +1
cs.CVcs.AIarXiv:2506.07464v52025
Transformer in Transformer
Kai Han, An Xiao, Enhua Wu +3
cs.CVcs.AIarXiv:2103.00112v32021
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang, Joelle Pineau
cs.LGcs.AIcs.ROarXiv:2102.06177v22021
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy, Priyadarshini Panda, Kaushik Roy
cs.CVcs.AIeess.IVarXiv:1802.05800v32018
Efficient Exploration through Bayesian Deep Q-Networks
Kamyar Azizzadenesheli, Animashree Anandkumar
cs.AIcs.LGstat.MLarXiv:1802.04412v42018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
Yangyan Li, Rui Bu, Mingchao Sun +3
cs.CVcs.AIcs.GRarXiv:1801.07791v52018
TorchMD: A deep learning framework for molecular simulations
Stefan Doerr, Maciej Majewsk, Adrià Pérez +5
physics.chem-phcs.AIarXiv:2012.12106v12020
Seed1.5-VL Technical Report
Dong Guo, Faming Wu, Feida Zhu +194
cs.CVcs.AIarXiv:2505.07062v12025
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang, Kai Yuan, Qiuguo Zhu +2
cs.ROcs.AIcs.LGarXiv:2012.05810v12020
On the Binding Problem in Artificial Neural Networks
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:2012.05208v12020
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Christian Schroeder de Witt, Klaudia Krawiecka, Igor Krawczuk +21
cs.CRcs.AIcs.MAarXiv:2505.02077v22025
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Yiping Wang, Qing Yang, Zhiyuan Zeng +11
cs.LGcs.AIcs.CLarXiv:2504.20571v32025
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Irina Higgins, Arka Pal, Andrei A. Rusu +6
stat.MLcs.AIcs.LGarXiv:1707.08475v22017
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark
Irene Teinemaa, Marlon Dumas, Marcello La Rosa +1
cs.AIarXiv:1707.06766v42017
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi +26
cs.CVcs.AIcs.LGarXiv:2504.13180v32025
Video-Bench: Human-Aligned Video Generation Benchmark
Hui Han, Siyuan Li, Jiaqi Chen +10
cs.CVcs.AIarXiv:2504.04907v22025
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Peter Sunehag, Guy Lever, Audrunas Gruslys +8
cs.AIarXiv:1706.05296v12017
Recurrent computations for visual pattern completion
Hanlin Tang, Martin Schrimpf, Bill Lotter +6
q-bio.NCcs.AIcs.CVarXiv:1706.02240v22017
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
Shuai Yu, Xu Chen, Zhi Zhou +2
cs.NIcs.AIcs.DCarXiv:2009.10601v12020
Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents
Shuo Ren, Can Xie, Pu Jian +3
cs.AIcs.MAarXiv:2503.24047v32025
Measuring AI Ability to Complete Long Software Tasks
Thomas Kwa, Ben West, Joel Becker +23
cs.AIcs.LGarXiv:2503.14499v42025
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Veda C. Storey, Wei Thoo Yue, J. Leon Zhao +1
cs.CYcs.AIcs.LGarXiv:2503.05770v12025
RobustFill: Neural Program Learning under Noisy I/O
Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju +3
cs.AIarXiv:1703.07469v12017
Autonomous Chemical Mechanistic Discovery through Agentic Reasoning and Validation
Dong Li, Sixuan Mi, Zihao Ye +10
cs.AIarXiv:2609.11147v12026
Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar +1
cs.LGcs.AIcs.MAarXiv:1703.02702v12017
Aligning AI With Shared Human Values
Dan Hendrycks, Collin Burns, Steven Basart +4
cs.CYcs.AIcs.CLarXiv:2008.02275v62020
Demonstrating specification gaming in reasoning models
Alexander Bondarenko, Denis Volk, Dmitrii Volkov +1
cs.AIarXiv:2502.13295v32025
AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow
Junran Wang, Zehao Jin, Tianyu Luan +1
cs.CVcs.AIarXiv:2609.10723v12026
Learn&Fuzz: Machine Learning for Input Fuzzing
Patrice Godefroid, Hila Peleg, Rishabh Singh
cs.AIcs.CRcs.LGarXiv:1701.07232v12017

Artificial Intelligence

Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners

ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations

Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction

ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond

AutoWorldModel-Bench: A State-Centric Benchmark for Automated World-Model Research

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

KWBench: Measuring Unprompted Problem Recognition in Knowledge Work

Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Symbolic Discovery of Optimization Algorithms

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Transfer Learning for Named-Entity Recognition with Neural Networks

Domain Generalization using Causal Matching

Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs

Multi-Agent Actor-Critic with Hierarchical Graph Attention Network

Shaping capabilities with token-level data filtering

Reinforcement Learning via Self-Distillation

Agentic Reasoning for Large Language Models

ExpSeek: Self-Triggered Experience Seeking for Web Agents

StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management

Stronger Normalization-Free Transformers

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections

Establishing Best Practices for Building Rigorous Agentic Benchmarks

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning

Improving and Simplifying Pattern Exploiting Training

Measuring Mathematical Problem Solving With the MATH Dataset

Counterfactual Zero-Shot and Open-Set Visual Recognition

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models

DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO

Transformer in Transformer

Multi-Task Reinforcement Learning with Context-based Representations

Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning

Efficient Exploration through Bayesian Deep Q-Networks

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

TorchMD: A deep learning framework for molecular simulations

Seed1.5-VL Technical Report

Multi-expert learning of adaptive legged locomotion

On the Binding Problem in Artificial Neural Networks

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Video-Bench: Human-Aligned Video Generation Benchmark

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Recurrent computations for visual pattern completion

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network

Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents

Measuring AI Ability to Complete Long Software Tasks

Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research

RobustFill: Neural Program Learning under Noisy I/O

Autonomous Chemical Mechanistic Discovery through Agentic Reasoning and Validation

Robust Adversarial Reinforcement Learning

Aligning AI With Shared Human Values

Demonstrating specification gaming in reasoning models

AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow

Learn&Fuzz: Machine Learning for Input Fuzzing