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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12,361 to 12,420 of 15,247

Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design
Bin Zhu, Qianghuai Jia, Tian Lan +6
cs.CLcs.AIarXiv:2603.28376v12026
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
Haozhen Zhang, Haodong Yue, Tao Feng +8
cs.CLcs.AIcs.LGarXiv:2602.06025v32026
daVinci-Dev: Agent-native Mid-training for Software Engineering
Ji Zeng, Dayuan Fu, Tiantian Mi +14
cs.SEcs.AIarXiv:2601.18418v22026
GLIGEN: Open-Set Grounded Text-to-Image Generation
Yuheng Li, Haotian Liu, Qingyang Wu +5
cs.CVcs.AIcs.CLarXiv:2301.07093v22023
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret, Jeff Clune
cs.AIcs.NEcs.ROarXiv:1504.04909v12015
Discovering Language Model Behaviors with Model-Written Evaluations
Ethan Perez, Sam Ringer, Kamilė Lukošiūtė +60
cs.CLcs.AIcs.LGarXiv:2212.09251v12022
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
Yixin Liu, Yue Yu, DiJia Su +7
cs.AIcs.CLcs.LGarXiv:2603.12246v12026
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
Dylan Zhang, Yufeng Xu, Haojin Wang +2
cs.LGcs.AIcs.CLarXiv:2602.01058v22026
GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts
Wenhao Zeng, Xuteng Zhang, Yuling Shi +4
cs.AIarXiv:2601.05110v32026
Experiential Reinforcement Learning
Taiwei Shi, Sihao Chen, Bowen Jiang +3
cs.LGcs.AIarXiv:2602.13949v12026
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong +7
cs.ROcs.AIcs.LGarXiv:2108.03298v22021
Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
Hanbing Liu, Chunhao Tian, Nan An +4
cs.AIcs.LGarXiv:2602.11541v12026
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention
Yufei Xu, Fanxu Meng, Fan Jiang +11
cs.LGcs.AIarXiv:2603.28458v32026
DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun +6
cs.AIcs.LGarXiv:2602.07035v12026
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding
Zhongxing Xu, Zhonghua Wang, Zhe Qian +10
cs.CVcs.AIarXiv:2603.13366v12026
Semantic Search over 9 Million Mathematical Theorems
Luke Alexander, Eric Leonen, Sophie Szeto +5
cs.IRcs.AImath.HOarXiv:2602.05216v22026
Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models
Jialong Wu, Xiaoying Zhang, Hongyi Yuan +7
cs.AIarXiv:2601.19834v12026
FlashPrefill: Instantaneous Pattern Discovery and Thresholding for Ultra-Fast Long-Context Prefilling
Qihang Fan, Huaibo Huang, Zhiying Wu +3
cs.CLcs.AIarXiv:2603.06199v12026
Mano: Restriking Manifold Optimization for LLM Training
Yufei Gu, Zeke Xie
cs.LGcs.AIarXiv:2601.23000v12026
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan, Tingnan Zhang, Erwin Coumans +5
cs.ROcs.AIarXiv:1804.10332v22018
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun +2
cs.LGcs.AIcs.ARarXiv:2102.00554v12021
$τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Shunyu Yao, Noah Shinn, Pedram Razavi +1
cs.AIcs.CLarXiv:2406.12045v12024
Educational data mining and learning analytics: An updated survey
C. Romero, S. Ventura
cs.HCcs.AIarXiv:2402.07956v12024
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou +5
cs.AIcs.CLcs.HCarXiv:2006.14779v32020
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du +2
cs.LGcs.AIcs.CVarXiv:2305.13301v42023
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
cs.LGcs.AIcs.CVarXiv:1605.08104v52016
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Y. Hammerla, Shane Halloran, Thomas Ploetz
cs.LGcs.AIcs.HCarXiv:1604.08880v12016
According to Me: Long-Term Personalized Referential Memory QA
Jingbiao Mei, Jinghong Chen, Guangyu Yang +3
cs.AIcs.CLcs.CVarXiv:2603.01990v12026
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
cs.AIcs.HCarXiv:2001.02114v12020
From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning
Ruilin Luo, Chufan Shi, Yizhen Zhang +10
cs.CVcs.AIarXiv:2603.03825v12026
Physical Simulator In-the-Loop Video Generation
Lin Geng Foo, Mark He Huang, Alexandros Lattas +3
cs.CVcs.AIcs.GRarXiv:2603.06408v12026
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen, Vladlen Koltun
cs.CVcs.AIcs.GRarXiv:1707.09405v12017
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng, Varun Gangal, Jason Wei +4
cs.CLcs.AIcs.LGarXiv:2105.03075v52021
HY3D-Bench: Generation of 3D Assets
Team Hunyuan3D, :, Bowen Zhang +22
cs.CVcs.AIarXiv:2602.03907v12026
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley Maddox, Timur Garipov, Pavel Izmailov +2
cs.LGcs.AIcs.CVarXiv:1902.02476v22019
WebWorld: A Large-Scale World Model for Web Agent Training
Zikai Xiao, Jianhong Tu, Chuhang Zou +7
cs.AIarXiv:2602.14721v12026
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
cs.HCcs.AIcs.LGarXiv:2001.02478v32020
Safe Reinforcement Learning via Shielding
Mohammed Alshiekh, Roderick Bloem, Ruediger Ehlers +3
cs.LOcs.AIcs.LGarXiv:1708.08611v22017
Agentic Uncertainty Quantification
Jiaxin Zhang, Prafulla Kumar Choubey, Kung-Hsiang Huang +2
cs.AIcs.CLarXiv:2601.15703v12026
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James, Zicong Ma, David Rovick Arrojo +1
cs.ROcs.AIcs.CVarXiv:1909.12271v12019
Firefly Algorithm: Recent Advances and Applications
Xin-She Yang, Xingshi He
math.OCcs.AIarXiv:1308.3898v12013
Safety Verification of Deep Neural Networks
Xiaowei Huang, Marta Kwiatkowska, Sen Wang +1
cs.AIcs.LGstat.MLarXiv:1610.06940v32016
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Yinjie Wang, Tianbao Xie, Ke Shen +2
cs.LGcs.AIcs.CLarXiv:2602.02488v12026
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella +1
cs.NEcs.AIarXiv:1003.0358v12010
Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
Fiona Y. Wang, Lee Marom, Subhadeep Pal +4
cs.AIcond-mat.dis-nncs.LGarXiv:2603.14312v12026
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan +3
cs.AIcs.LGstat.MLarXiv:1806.00064v12018
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Nikita Nangia, Clara Vania, Rasika Bhalerao +1
cs.CLcs.AIarXiv:2010.00133v12020
Meta-Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham Kakade +1
cs.LGcs.AImath.OCarXiv:1909.04630v12019
Learning to Continually Learn via Meta-learning Agentic Memory Designs
Yiming Xiong, Shengran Hu, Jeff Clune
cs.AIarXiv:2602.07755v12026
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
Hao Zhang, Mingjie Liu, Shaokun Zhang +10
cs.AIarXiv:2603.18815v12026
Emergence of Locomotion Behaviours in Rich Environments
Nicolas Heess, Dhruva TB, Srinivasan Sriram +9
cs.AIarXiv:1707.02286v22017
LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
Weihao Zeng, Yuzhen Huang, Junxian He
cs.AIarXiv:2602.07962v12026
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
Fengran Mo, Zhan Su, Yuchen Hui +6
cs.CLcs.AIcs.IRarXiv:2601.09028v22026
Memory Caching: RNNs with Growing Memory
Ali Behrouz, Zeman Li, Yuan Deng +3
cs.LGcs.AIarXiv:2602.24281v12026
F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Ziyin Zhang, Zihan Liao, Hang Yu +2
cs.CLcs.AIarXiv:2603.19223v12026
VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
Haoran Yuan, Weigang Yi, Zhenyu Zhang +9
cs.ROcs.AIcs.CVarXiv:2603.23481v12026
Ignore Previous Prompt: Attack Techniques For Language Models
Fábio Perez, Ian Ribeiro
cs.CLcs.AIarXiv:2211.09527v12022
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky, Tomer Doitshman, Yuval Elovici +1
cs.CRcs.AIcs.LGarXiv:1802.09089v22018
Scaling Embeddings Outperforms Scaling Experts in Language Models
Hong Liu, Jiaqi Zhang, Chao Wang +13
cs.CLcs.AIcs.LGarXiv:2601.21204v22026
Effective Strategies for Asynchronous Software Engineering Agents
Jiayi Geng, Graham Neubig
cs.CLcs.AIarXiv:2603.21489v22026

Artificial Intelligence

Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory

daVinci-Dev: Agent-native Mid-training for Software Engineering

GLIGEN: Open-Set Grounded Text-to-Image Generation

Illuminating search spaces by mapping elites

Discovering Language Model Behaviors with Model-Written Evaluations

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training

Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts

Experiential Reinforcement Learning

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents

Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding

Semantic Search over 9 Million Mathematical Theorems

Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models

FlashPrefill: Instantaneous Pattern Discovery and Thresholding for Ultra-Fast Long-Context Prefilling

Mano: Restriking Manifold Optimization for LLM Training

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

$τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Educational data mining and learning analytics: An updated survey

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Training Diffusion Models with Reinforcement Learning

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables

According to Me: Long-Term Personalized Referential Memory QA

Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Physical Simulator In-the-Loop Video Generation

Photographic Image Synthesis with Cascaded Refinement Networks

A Survey of Data Augmentation Approaches for NLP

HY3D-Bench: Generation of 3D Assets

A Simple Baseline for Bayesian Uncertainty in Deep Learning

WebWorld: A Large-Scale World Model for Web Agent Training

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

Safe Reinforcement Learning via Shielding

Agentic Uncertainty Quantification

RLBench: The Robot Learning Benchmark & Learning Environment

Firefly Algorithm: Recent Advances and Applications

Safety Verification of Deep Neural Networks

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

Efficient Low-rank Multimodal Fusion with Modality-Specific Factors

CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models

Meta-Learning with Implicit Gradients

Learning to Continually Learn via Meta-learning Agentic Memory Designs

ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents

Emergence of Locomotion Behaviours in Rich Environments

LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG

Memory Caching: RNNs with Growing Memory

F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World

VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs

Ignore Previous Prompt: Attack Techniques For Language Models

Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Scaling Embeddings Outperforms Scaling Experts in Language Models

Effective Strategies for Asynchronous Software Engineering Agents