AI Research Papers
New papers daily from arXiv and Hugging Face Daily Papers, plus posts from top AI lab research blogs.
New AI research papers from arXiv and Hugging Face Daily Papers, updated every two hours.
- HF Daily Papers · 24 Oct 2026 · ▲ 330Trajectory2Gym: Decision-Grounded Compositional Interaction Synthesis for Tool-Use Agents
Yihao Hu, Zhihao Wen, Yitong Lin, Siyuan Lu, Pan Wang, Wei Wu, Jiang-Ming Yang, Tao Lin
- HF Daily Papers · 13 Oct 2026 · ▲ 266Jeva: System One Models from First Principles
Qi Li, Xinchao Wang
- HF Daily Papers · 25 Oct 2026 · ▲ 189DynaFlow: Learning Free-Form Multi-Agent Orchestration
Ruhao Liu, Qi Li, Shizun Wang, Xinchao Wang
- HF Daily Papers · 25 Oct 2026 · ▲ 151Memory Tax: Dissecting the Net Value of Agent Memory
Xuan He, Sining Zhoubian, Ruozhen Yang, Yuhao Wen, Zhineng Wang, Yuyang Hu, Ke Yang, Yuyu Zhang
- HF Daily Papers · 21 Oct 2026 · ▲ 136Your Benchmark Is an Empirical Measure Over Difficulty
Yifan Sun, Naicheng Yu, Jiawen Gong, Jingyan Shen, Huan Zhang
- HF Daily Papers · 14 Oct 2026 · ▲ 115Function-Space Temporal Self-Distillation for Policy Optimization
Aryan Das, Arnab Bhattacharya, Vinay Kumar Verma
- HF Daily Papers · 29 Oct 2026 · ▲ 77Intrinsic Distribution Matching
Deyuan Liu, Yansen Han, Kaiwen Zheng, Jun Xie, Jiacheng Liu, Zhenglin Cheng, Peng Sun, Jintao Zhang
- HF Daily Papers · 27 Oct 2026 · ▲ 53ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
Chaehyun Kim, Chi-Pin Huang, Jisoo Kim, Min-Hung Chen, Yu-Chiang Frank Wang, Seungryong Kim, Fu-En Yang
- HF Daily Papers · 10 Oct 2026 · ▲ 51EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment
ZiAn Wang, Ruiqi Liu, Zhengbo Zhang, Yi Han, Jialiang Shen, Ruoxin Chen, Manni Cui, Ximo Zhu
- HF Daily Papers · 23 Oct 2026 · ▲ 42WorldCast: World-Consistent Character Video Generation with Large-Angle Camera Control
Lei Cao, Yu Liu, Wenhua Liao, Peng Zhang, Fei Wang, Hao Zhang, Jiajun Le, Daiguo Zhou
- HF Daily Papers · 27 Oct 2026 · ▲ 37Look Only When Needed: Certificate-Guided Visual Routing for Efficient Diffusion VLMs
Donghyeon Cho, Joowon Kim, Seungho Shin, Eunho Yang
- HF Daily Papers · 24 Oct 2026 · ▲ 33Eat Your Precision: Precision Objective Mitigates Reward Hacking in Rubric-based RL
Hyun Ryu, Jong-Heon Kim, Yiqing Xie, Seungone Kim, Carolyn Rose, Eunho Yang
- HF Daily Papers · 12 Oct 2026 · ▲ 29Self-Distillation with Verbal Regularization
Jiazheng Li, Yawei Li, Junru Lu, Zhenyi Shen, Di Yin, Lin Gui, Xing Sun, David Rügamer
- HF Daily Papers · 27 Oct 2026 · ▲ 21Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data
Geunhyoung Kim, Sung Ju Hwang
- HF Daily Papers · 23 Oct 2026 · ▲ 21A Broader Look into MLLM's Retrieval Heads
Jia Wang, Yuqing Li, Jiangnan Li, Zheng Lin, Mo Yu
- HF Daily Papers · 23 Oct 2026 · ▲ 19DiscoDemo: Discovering Efficient and Diverse Robot Demonstrations for Imitation Learning
Minho Park, Kinam Kim, Donghu Kim, Byungkun Lee, Dongyoon Hwang, Yongjae Shin, Junha Hyung, Hojoon Lee
- HF Daily Papers · 13 Oct 2026 · ▲ 18Open-o3-Video-v2: Seek, Ground, and Reason with Verifiable Spatio-Temporal Evidence
Jiahao Meng, Zhongyuan Bao, Yue Tan, Haiquan Wen, Renrui Zhang, Anna Wang, Jason Li, Yanwei Fu
- HF Daily Papers · 23 Oct 2026 · ▲ 18World-in-Context: Interactive Video World Modeling with In-Context Conditioning
Harold Haodong Chen, Rui Peng, Rongjin Guo, Lingteng Qiu, Kejie Qiu, Chao Xu, Zilong Dong
- HF Daily Papers · 15 Oct 2026 · ▲ 17RealCLI: Toward a Unified Evaluation of Human-Agent Collaboration for CLI Agents
Yunqi Liu, Peiyu Wang, Bingli Wang, Leo Luo, Xuanwu Song, Xudong Ma, Hongxin Li, Yaxin Du
- HF Daily Papers · 26 Oct 2026 · ▲ 16S3AC: Stabilized, Selective, and Scalable Actor-Critic for LLM Reasoning
Shuo Shen, Guangran Cheng, Chengqi Lyu, Xiangsen Wang, Yanan Sun, Wenwei Zhang
- HF Daily Papers · 13 Oct 2026 · ▲ 15LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity
Yibo Wang, Senjie Jin, Yansong Ning, Xinbing Liang, Haotian Luo, Jiazheng Zhang, Yuxuan He, Will Wu
- HF Daily Papers · 24 Oct 2026 · ▲ 15Build, Don't Play: Self-Improving LLM Research Agents Develop a Hearthstone Battlegrounds AI That Rivals Top Players
Changlian Ma, Limin Wang
- HF Daily Papers · 26 Oct 2026 · ▲ 15Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models
Xilin Wei, Shengyuan Ding, Xinyu Fang, Tiancheng Gu, Yuchi Wang, Zhixun Li, Ziyu Liu, Yuhang Zang
- HF Daily Papers · 13 Oct 2026 · ▲ 14ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning
Bowen Ding, Mingda Wan, Yuhan Chen, Jiyao Yuan, Qi Zhu, Futing Wang, Heyuan Deng, Fei Mi
- HF Daily Papers · 25 Oct 2026 · ▲ 13RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions
Haoyu Zhao, Xingyue Zhao, Zhian Su, Bohan Hou, Yinzhou Tang, Fengyi Wang, Kehan Li, Yuming Jiang
- HF Daily Papers · 21 Oct 2026 · ▲ 13Rethinking Video Storage for AI Training: Breaking Cross-Frame Dependencies for Efficient Random Access
Zetian Song, Qize Yu, Yue Chen, Bohan Zhou, Bowen Ping, Yuqi Ye, Haocheng Tang, Haotian Zhang
- HF Daily Papers · 24 Oct 2026 · ▲ 13ReGE: Stronger Agents through Experience Synthesis
Jiarong Liang, Yubo Wang, Zijie Liu, Yuxuan Zhang, Ping Nie, Wenhu Chen
- HF Daily Papers · 8 Oct 2026 · ▲ 12Pristine Models
Anirudh Sundara Rajan, Krishna Kumar Singh, Richard Zhang, Yong Jae Lee
- HF Daily Papers · 9 Oct 2026 · ▲ 12Latent World Action Model for GUI Agents
Seungjun Yu, Hojun Choi, Seojeong Park, Jaeyo Shin, Hyunjung Shim
- HF Daily Papers · 26 Oct 2026 · ▲ 12More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation
Yuzhuo Chen, Huafeng Shi, Xinyu Wang, Yulong Xu, Yucheng Wang, Haoqin Hong, Guoxin Zhang, Zehua Ma
From AI lab blogs
- Microsoft Research · 30 Oct 2026 · labMicrosoft Research Focus – Edition #97
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus
- Hugging Face Blog · 29 Oct 2026 · labGranite Switch 4.1.1 — Update models like you update software
- OpenAI News · 29 Oct 2026 · labHow we detect frontier model misalignment
OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.
- OpenAI News · 29 Oct 2026 · labHow Ropes & Gray is developing AI for transactional diligence
Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
- Hugging Face Blog · 29 Oct 2026 · labAnnouncing Project ProtoStar: Making Publicly Funded Science AI-Ready
- Hugging Face Blog · 29 Oct 2026 · labWelcome Le Chonk: Mistral Large 4 on Hugging Face
Top AI blogs
Latest posts from OpenAI, Google, DeepMind, Hugging Face, BAIR, Lil'Log, Simon Willison, Import AI, Latent Space and more, via RSS.
- Simon Willison · 30 Oct 2026 · blogAPI credits benefit for eligible ChatGPT subscriptions
API credits benefit for eligible ChatGPT subscriptions Earlier this month Anthropic announced a generous new benefit for their Max and Team subscriptions: $100, $200, and $500 per month subscribers would get the equivalent quantity of (expiring) credits to use with the Anthropic
- AWS Machine Learning Blog · 30 Oct 2026 · blogHow the UK Amazon Quick User Group grew in 2026
The UK Amazon Quick User Group's 2026 roundup: three quarterly meetups, 150+ attendees, and customer stories from Arriva, Carsa, and Propulse Lab on using agentic AI and Amazon Quick to turn data into faster decisions, higher satisfaction, and scalable growth.
- AWS Machine Learning Blog · 29 Oct 2026 · blogBuilding intent-driven UI testing with Amazon Nova Act
Epsilon's Agentic Platform team delivers UI testing as a managed, multi-tenant service built on Amazon Nova Act and Amazon Bedrock AgentCore Browser Tool. Tests are written in plain English and run on browsers managed by AWS, giving every product team resilient, intent-driven tes
- AWS Machine Learning Blog · 29 Oct 2026 · blogBuild a repeatable PHP-to-Java migration engine with Kiro
Turn a PHP-to-Java migration from a one-time leap of faith into a measurable, repeatable process with Kiro. This post walks through a reusable engine: a mechanical discovery scanner and an eight-phase, parity-first workflow that treats the original PHP application as the specific
- Simon Willison · 29 Oct 2026 · blogBuilding a multiplayer game world with autonomous Fable-class models
How I Built the Most AI-Pilled Company in the World Don't be put off by the clickbait headline, this piece by Jacob Sansbury describing how they are building Spawn is a fascinating exploration of the bleeding edge of what's possible with agentic engineering against frontier model
- AWS Machine Learning Blog · 29 Oct 2026 · blogLend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption to run your highest-priority SageMaker Training jobs first, all without manual co
- AWS Machine Learning Blog · 29 Oct 2026 · blogHow MoEngage turned over 400 APIs into agent tools with AgentCore Gateway
MoEngage turned roughly 400 private REST APIs across 7 AWS Regions into permission-scoped agent tools with Amazon Bedrock AgentCore Gateway. No per-service MCP servers, no public endpoints, and no 400-tool context bloat. See how OpenAPI specs, Cedar policies, and managed Amazon V
- AWS Machine Learning Blog · 29 Oct 2026 · blogAccelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS
NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding. This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode, and Amazon SageMaker HyperPod EK
- Latent Space · 29 Oct 2026 · blogCan Frontier Models See Past a Decoy? Elorian Tests Visual Reasoning
A new decoy counting benchmark exposes a gap between seeing and reasoning. Elorian’s Glimpse tries to bridge it by thinking with images.
- NVIDIA Technical Blog · 29 Oct 2026 · blogUnlocking Tensor Core Performance for Machine Learning Interatomic Potentials
Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These...
- Simon Willison · 29 Oct 2026 · blogQuoting Ben Hylak
every product i use should just be a headless mcp, that feeds into an agent, where i never have to think about anything underneath. except for our product, of course. in our product, customers love the ui and love us very much. we're special that way. Ben Hylak Tags: model-contex
- Latent Space · 29 Oct 2026 · blog[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders
Google’s new frontier model leads independent evals, with access initially limited to trusted defenders.
Frequently asked questions
Which arXiv categories are covered?
cs.AI, cs.CL and cs.LG, plus Hugging Face Daily Papers.