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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
3,031 papers
ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation.
Object Tracking
Image Segmentation
Javier del Pino, Salvador Rodríguez, Alejandro Garabito, et al.
FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning Experience
Reinforcement Learning
Reasoning
Zixun Huang, Kishan Panaganti, Haitao Mi, et al.
Causal Foundation Models
Deep Learning
Model Training
Christopher Stith, Hossein Rahmani, Jesse C. Cresswell
EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents
Embodied Intelligence
Agent
Wei Wang, Wenqiao Zhang, Yutong Lin, et al.
Unlocking Lossless Speedups in LLMs via Discrete Diffusion
LLM
Diffusion Model
Subham Sekhar Sahoo, Lingjie Chen, Khiem Pham, et al.
WorldSculpt: Generating Compositional Worlds from Grounded Videos
3D Generation
3D Model
Muyao Niu, Jixuan He, Ruihan Yu, et al.
Iris: Climbing to the Search Frontier
Agent
Retrieval-Augmented Generation
Ziyuan Liu, Hengqi Liu, Zichuan Wang, et al.
MOTION-OMNI: END-TO-END JOINT SPEECH AND FULL-BODY MOTION FOR SPOKEN DIALOGUE
Any-to-Any
Multimodal
Chengqian Ma, Wei Tao, Haoyu Zhang, et al.
The Atention Triangle in Audio-Video Models
Diffusion Model
Multimodal
Sagi Polaczek, Noa Kraicer, Gal Metzer, et al.
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems
LLM
Agent
Yihang Chen, Yuxiang Chen, Yuxuan Huang, et al.
Dr. Claw: An AI Scientist Workspace for Vibe Research
Agent
Code Generation
Dingjie Song, Hanrong Zhang, Dawei Liu, et al.
WorldReward: Reward Modeling for Camera-Conditioned World Models
World Models
Video Generation
Yibin Wang, Zehan Wang, Junshu Tang, et al.
VIBEVOICE-ASR-STREAMING Technical Report
LLM
Audio and Speech Processing
Yujie Tu, Zhiliang Peng, Jianwei Yu, et al.
Computer Science Achievement and Writing Skills Predict Vibe Coding Proficiency
LLM
Code Generation
Sverrir Thorgeirsson, Theo B. Weidmann, Zhendong Su
ROBOTOK: AN INTERNET-SCALE DATA ENGINE FOR HUMAN DEMONSTRATION RETRIEVAL AND DEXTEROUS MANIPULATION LEARNING
Robotics
Video Understanding
Howard Qian, Yiting Chen, Yunfei Xie, et al.
Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training
LLM
Model Training
Tingyun Li, Wenfeng Feng, Weiqing Li, et al.
Random Attention: Rethinking KV Cache Eviction for Eficient Reasoning
LLM
Reasoning
Heng Wang, Jielin Qiu, Wenting Zhao, et al.
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Image Generation
Diffusion Model
Chuyan Chen, Haoxing Chen, Kun Chen, et al.
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
Agent
Code Generation
Jie Wu, Zhenru Zhang, Beichen Zhang, et al.
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
AI Compiler
Supervised Fine-Tuning
Yuntian Deng, Pengyu Nie, Stuart Shieber
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?
Agent
LLM
Yuhao Wu, Jingyuan Zhang, Jiajun Shi, et al.
Language Models Can Control Their Own Attention
LLM
Text Generation
Namgyu Ho, Huzama Ahmad, Woosung Koh, et al.
It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning
LLM
Supervised Fine-Tuning
Runpeng Dai, Kaili Huang, Changsung Kang, et al.
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
LLM
Agent
Yuling Shi, Zhensu Sun, Junsen Dong, et al.
SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models
World Models
Video Generation
Junchao Huang, Guian Fang, Shengju Qian, et al.
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Agent
LLM
Jianlyu Chen, Yuyang Hu, Hongjin Qian, et al.
H3-World: Turning Language Understanding into World Control
World Models
Video Generation
Danze Chen, Zeqing Wang, Ziyue Lin, et al.
ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training
World Models
Xionghao Wu, Yijun Yang, Shiyang Zhou, et al.
UI-Venus-2: A Large Language Model for GUI Agents
LLM
Agent
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers
Transformer
LLM
Shaowen Wang, Ge Zhang, Kairong Luo, et al.
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
Autonomous Driving
Qwen
Xin Zhou, Zongchuang Zhao, Zhibo Yang, et al.
StudentSim: Training LLM-based Student Simulators
LLM
Model Training
Ke Yang, Chenglong Wang, Michel Galley, et al.