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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
2,872 papers
Flow-by-Flow: Content-Judgment Bypass for Governing AI Output in High-Loss Domains
LLM
Hiroki Naito
Towards an Argumentative Foundation for Evaluative AI
Reasoning
Agent
Xiang Yin, Tim Miller, Antonio Rago, et al.
Data-Driven Fire-Zone Segmentation for Improved Short-Term Wildfire Prediction
Image Segmentation
Nicolas Caron, Hassan Noura, Christophe Guyeux, et al.
Application of Artificial Intelligence for Fraudulent Banking Operations Recognition
Machine Learning
Deep Learning
Bohdan Mytnyk, Oleksandr Tkachyk, Nataliya Shakhovska, et al.
MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language Models
Multimodal
Visual Question Answering
Wenjie Zhu, Yabin Zhang, Wenjun Zeng, et al.
Evidence-RL: Towards Evidence-intensive Visual Reasoning
Visual Question Answering
Multimodal
Haojie Huang, Xinlei Yu, Chengming Xu, et al.
Skaling: Chinchilla’s Exponents Meet Kaplan’s Coupling
Model Training
Deep Learning
Mathurin Videau, Badr Youbi-Idrissi, David Lopez-Paz, et al.
PROTECT-90: A Fault Dataset for Power System Protection
Dataset
Benchmarks
Julian Oelhaf, Georg Kordowich, Christian Bergler, et al.
When Activation Oracles Learn Not to Read: Concept-Specific Blind Spots in Fine-Tuned Oracles
Supervised Fine-Tuning
LLM
Tobias Bersia, Tatiana Gaintseva
YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family
Object Detection
Model Training
Xu Lin, WenJie Nie, Jinlong Peng, et al.
StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding
Video Understanding
Multimodal
Xichen Zhang, Guankai Li, Yinghao Zhu, et al.
SimWAM: A Simple World Action Model for End-to-End Autonomous Driving
World Models
Video Generation
Zongchuang Zhao, Xin Zhou, Tianyang Xu, et al.
SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning Paradigms for LLMs
Multi-Task Learning
Reinforcement Learning
Kejian Zhu, Zhuoran Jin, Shangqing Tu, et al.
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
Multimodal
Agent
Kejian Zhu, Zhuoran Jin, Dongqi Huang, et al.
MatrAIx: Simulating the World with 8.3 Billion Persona Agents
Agent
Benchmarks
Xiaomin Li, Yuexing Hao, Jianheng Hou, et al.
EvoHarness-RL: Learning Self-Evolving Runtime Harness for Long-Horizon LLM Agents
Reinforcement Learning
Agent
Xuying Ning, Dongqi Fu, Tianxin Wei, et al.
ENVACE: INTERNALIZING ENVIRONMENT DYNAMICS VIA WORLD REHEARSAL FOR AGENTIC REINFORCEMENT LEARNING
World Models
Reinforcement Learning
Zishan Xu, Zhiyuan Yao, Yuxin Chen, et al.
GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?
Video Understanding
Visual Question Answering
Qifeng Zhang, Kaixiang Huang, Heng Dong, et al.
WorldClaw: Agentic 3D Open-World Generation at Scale
3D Generation
3D Model
Chunchao Guo, Yang Li, Jinpeng Li, et al.
INTERPRETABLE MEG DECODING OF PERCEIVED SPEECH: CORTICAL SOURCES AND THE STIMULUS FEATURES THAT DRIVE RETRIEVAL
Deep Learning
Audio Recognition
Ilia Semenkov, Daria Kleeva, Zarina Maksudova, et al.
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models
Multimodal
Model Training
Qiushi Sun, Kanzhi Cheng, Yian Wang, et al.
AGENTOPSD: RECURSIVE SELF-DISTILLATION FOR AGENTIC REINFORCEMENT LEARNING
Reinforcement Learning
Agent
Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao, et al.
ACM: Agentic Context Management for Long Horizon Tasks
Agent
LLM
Xiaochuan Li, Ryan Ming, Meng Chu, et al.
AI-based single-shot structured-light depth reconstruction for real-time laparoscopic surgical guidance
Depth Estimation
3D Machine Vision
Wayne Wonseok Rodgers, Xiangyi Le, Seonghoon Jang, et al.
Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth
Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup, et al.
Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning
Reinforcement Learning
Jai Malegaonkar, Rohan Patil, Henrik I. Christensen
Stable Density Ridges: Consistency and Convergence of Subspace Constrained Mean Shift
Wanli Qiao
Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition
Action Recognition
Video Understanding
Paritosh Parmar, Landy Lan, Hong Yang, et al.
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Agent
Reinforcement Learning
Yijun Lu, Rui Ye, Jiajun Wang, et al.
PG-LLM: Benchmarking General-Purpose Language Models for Protein Variant Ranking
LLM
Protein
Rohit Arora, Leo Tianlai Chen, Melissa Du, et al.
DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces
Benchmarks
Agent
Boyan Li, Tianqi Luo, Yuan Li, et al.
REUSING ROLLOUTS UNDER POLICY LAG: PREFIX-NORMALIZED POLICY OPTIMIZATION FOR LLM REIN-FORCEMENT LEARNING
Reinforcement Learning
LLM
Wenhao Zhang, Yibo Xie, Rui Wang, et al.