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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning
Video Captioning
Multimodal
Wenzheng Zeng, Siyi Jiao, Chen Gao, et al.
Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory
Video Understanding
Agent
Chang Nie, Jiaju Wei, Junlan Feng, et al.
Vision as Unified Multimodal Generation
Multimodal
Any-to-Any
Xiaoyang Han, Jianhua Li, Kewang Deng, et al.
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling
LLM
Transformer
Xiang Hu, Xinyu Wei, Hao Gu, et al.
AlayaWorld: Long-Horizon and Playable Video World Generation
Video Generation
RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation
Diffusion Model
Video Generation
Haoyu Zhao, Xingyue Zhao, Siteng Huang, et al.
Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs
LLM
Model Training
Akhiad Bercovich, Talor Abramovich, Daniel Afrimi, et al.
Multi-Turn On-Policy Distillation with Prefix Replay
Reinforcement Learning
Agent
Baohao Liao, Hanze Dong, Christof Monz, et al.
Gemma 4 Technical Report
LLM
Multimodal
Sherif El Abd, Vaibhav Aggarwal, Robin Algayres, et al.
UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning
Agent
Multimodal
Niu Lian, Alan Chen, Zhehao Yu, et al.
Wan-Streamer v0.2: Higher Resolution, Same Latency
Video Generation
Text-to-Audio
Lianghua Huang, Zhi-Fan Wu, Yupeng Shi, et al.
EVA-Client: A Unified Framework for Deployment, Evaluation, and Data Collection on Real Robots
Multimodal
Heqing Yang, Yang Yi, Liyao Wang, et al.
GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation
Benchmarks
Video Generation
Angyuan Ma, Boyuan Wang, Bohan Li, et al.
ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes
LLM
Retrieval-Augmented Generation
Qihao Zhao, Yangyu Huang, Yalun Dai, et al.
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
Document Understanding
Text Generation
Lingao Xiao, Yalun Dai, Yangyu Huang, et al.
FINAL Bench: Measuring Functional Metacognitive Reasoning in Large Language Models
Benchmarks
Reasoning
Taebong Kim, Minsik Kim, Sunyoung Choi, et al.
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes
3D Machine Vision
Semantic Segmentation
TheoremGraph: Bridging Formal and Informal Mathematics
Retrieval-Augmented Generation
LLM
Simon Kurgan, Evan Wang, Eric Leonen, et al.
Always-On Agents: A Survey of Persistent Memory, State, and Governance in LLM Agents
Agent
LLM
Tianyu Ding, Aditya Nannapaneni, Bingfan Liu, et al.
Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming
Agent
LLM
Yong Yang, Xing Zheng, Huiyu Wu, et al.
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Dataset
Multimodal
Matteo Farina, Vishaal Udandarao, Thao Nguyen, et al.
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
Diffusion Model
Image Generation
Donghyun Lee, Jitesh Chavan, Duy Nguyen, et al.
VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon
Multimodal
Reinforcement Learning
Yi Pan, Miao Pan, Qi Lu, et al.
Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots
Embodied Intelligence
Multimodal
Ling Xu, Chuyu Han, Borui Li, et al.
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning
Model Training
Supervised Fine-Tuning
Jing Liang, Hongyao Tang, Yi Ma, et al.
GeneBench-Pro: Evaluating Multistage Statistical Reasoning in Genomics, Quantitative Biology, and Translational Biomedicine
Benchmarks
AI for Science
Jeremy Li, Andrew Ho
Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII)
Image Generation
Deep Learning
Li Qiwei, Wells Lucas Santo, Sarita Schoenebeck, et al.
To Grok Grokking: Provable Grokking in Ridge Regression
Deep Learning
Model Training
Mingyue Xu, Gal Vardi, Itay Safran
A Random Matrix Theory Perspective on the Consistency of Diffusion Models
Diffusion Model
Deep Learning
Binxu Wang, Jacob Zavatone-Veth, Cengiz Pehlevan
How much do language models memorize?
Transformer
Model Training
John X. Morris, Chawin Sitawarin, Chuan Guo, et al.
The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes
Reinforcement Learning
LLM
Mohammad Taufeeque, Stefan Heimersheim, Adam Gleave, et al.
Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit
LLM
Supervised Fine-Tuning
Sarah Ball, Phil Hackemann