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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601 to 660 of 15,328

Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon +9
cs.AIcs.LGarXiv:2505.11289v22025
AI for Games in the Foundation Model Era
Meng Luo, Yanlin Li, Hao Li +7
cs.AIarXiv:2609.16679v12026
Estimating Uncertain Spatial Relationships in Robotics
Randall Smith, Matthew Self, Peter Cheeseman
cs.AIcs.ROarXiv:1304.3111v22013
ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
Shuhan Xue, Jianyuan Zhong, Ziyuan Nan +10
cs.AIcs.CLarXiv:2609.17523v12026
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang, Liang Luo, Yuxin Chen +12
cs.LGcs.AIarXiv:2403.02545v42024
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
Sherif Abdulatif, Ruizhe Cao, Bin Yang
cs.SDcs.AIcs.LGarXiv:2209.11112v32022
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Yi Zhang, Bolin Ni, Xin-Sheng Chen +7
cs.CVcs.AIarXiv:2510.13795v42025
Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation
Koutian Wu, Junjie Zhou, Ergan Shang +5
cs.AIcs.IRarXiv:2609.11115v22026
Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices
Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5
cs.SEcs.AIarXiv:2601.02732v12026
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer +4
cs.CLcs.AIcs.CVarXiv:2402.05602v22024
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
Vivek Verma, Eve Fleisig, Nicholas Tomlin +1
cs.CLcs.AIarXiv:2305.15047v32023
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James, Michael Bloesch, Andrew J. Davison
cs.ROcs.AIcs.CVarXiv:1810.03237v12018
Verifier-free Test-Time Sampling for Vision-Language-Action Models
Suhyeok Jang, Dongyoung Kim, Changyeon Kim +2
cs.ROcs.AIcs.LGarXiv:2510.05681v22025
RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
Yuxiao Qu, Anikait Singh, Yoonho Lee +4
cs.AIcs.CLcs.LGarXiv:2510.02263v12025
Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision
Wei Du, Shubham Toshniwal, Branislav Kisacanin +7
cs.AIarXiv:2512.15489v12025
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
Kangyeol Kim, Sunghyun Park, Jaeseong Lee +3
cs.AIcs.CVarXiv:2111.07640v22021
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
Yidong Wang, Yunze Song, Tingyuan Zhu +11
cs.AIcs.CLarXiv:2509.21117v22025
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

Artificial Intelligence

Meta-World+: An Improved, Standardized, RL Benchmark

AI for Games in the Foundation Model Era

Estimating Uncertain Spatial Relationships in Robotics

ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

Wukong: Towards a Scaling Law for Large-Scale Recommendation

CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement

Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices

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

Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Task-Embedded Control Networks for Few-Shot Imitation Learning

Verifier-free Test-Time Sampling for Vision-Language-Action Models

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems

Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

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