AI Research Papers
New papers daily from arXiv and Hugging Face Daily Papers, plus posts from top AI lab research blogs.
- OpenAlex · Artificial intelligence · 17 Oct 2026Studies in Language
["Anetta Kopecka","Marine Vuillermet"]
- OpenAlex · Artificial intelligence · 16 Oct 2026African Journal of Environmental Science and Technology
["Harold Wilson","Tumwitike Mapoma","Chifundo Tenthani","Madalitso Tsakama","Ishmael Bobby","Mphangwe Kosamu"]
- OpenAlex · Machine learning · 15 Oct 2026International Journal of Game-Based Learning
["Patrick Felicia"]
- arXiv · 13 Oct 2026ChunkAct: Action Chunking for Agentic Robotics
Bingxin Xu, Wenrui Bao, Xinxin Liu, Jiawei Zhou, Yuzhang Shang, Emilio Ferrara
- HF Daily Papers · 13 Oct 2026 · ▲ 24Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion
Chih-Hai Su, Tsung-Wei Ke, Yu-Lun Liu
- arXiv · 13 Oct 2026What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study
Mingxuan Yan, Litian Gong, Dihong Huang, Zhixu Li, Tianyu Zhang, Wenqian Zhang, Hefeifei Jiang, Peihao Li
- HF Daily Papers · 13 Oct 2026 · ▲ 86Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards
Wenbo Hu, Shraman Pramanick, Krishna Kumar Singh, Nanyun Peng, Kai-Wei Chang, Yong Jae Lee
- arXiv · 13 Oct 2026Data Free Training of Diffusion Models for Lattice Field Theories
Dennis Grinwald, Ankur Singha, Khaled Kahouli, Karl Jansen, Shinichi Nakajima
- arXiv · 13 Oct 2026DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning
Minghao Luo, Liang Chen
- arXiv · 13 Oct 2026Hybrid Reasoning Agents
Jiaru Zou, Yunzhe Qi, Sirui Chen, Federico Bianchi, Shang Zhu, Pan Lu, Jingrui He, James Zou
- arXiv · 13 Oct 2026AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards
Xin Gao, Yifan Yang, Xin Li, Pan Wang, Yan Li, Muzhao Tian, Mingxi Cheng, Bei Liu
- arXiv · 13 Oct 2026Exact Topological Compliance: Generating Persistence-Equivalent Graphs
Mattie Ji, Indradyumna Roy, Vikas Garg
- arXiv · 13 Oct 2026Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards
Yuante Li, Junwei Quan, Kai Qiu, Kate Zhang, Yicheng Tao
- arXiv · 13 Oct 2026MFG: Multi-turn Feedback Guided Molecular Optimization
Trieu Nguyen, Frazier N. Baker, Ruoxi Gao, Daniel Adu-Ampratwum, Xia Ning
- arXiv · 13 Oct 2026The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement
Sijie Zhao, Zeqi Zhou, Heli Qi, Xuanchao Fu, Zhuo Zheng, Junshi Xia, Junjue Wang, Weihao Xuan
- arXiv · 13 Oct 2026LIBERO-RIG: A Hardware-Setup Robustness Benchmark for Vision-Language-Action Models
Andrea Yaoyun Cui, Hanyu Wang, Xinyi Wang, Bangzheng Li, Lin Zhang, Zhenggang Tang, Shyamal Buch, Dejia Xu
- arXiv · 13 Oct 2026Who Improves the Robot? Toward Physical Recursive Self-Improvement
Hai Zhou, Fan Yang, Zeyi Chen, Lejun Zhang, Chenyang Fu, Jianping Li, Jiayi Zhu, Xianyang Liu
- arXiv · 13 Oct 2026Fast Rates for Offline Q-Learning with KL Regularization
Yize Hao, Guangxin Jiang, Shuang Qiu
- arXiv · 13 Oct 2026Scaling Online Optimal Transport Minibatches for Flow Matching
Peter Chen, Sergey Levine
- arXiv · 13 Oct 2026RoboSimStudio: An Interactive Toolkit for Rapid Real2Sim of Robot Manipulation Tasks
Kaiyuan Chen, Shuangyu Xie, Uksang Yoo, Xinyue Zhu, Cael Magner, Alvin Zhu, Daehwa Kim, Eric Heiden
- arXiv · 13 Oct 2026OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding
Xuyang Liu, Shihao Wang, Xinyu Wei, Minghan Li, Zeqing Wang, Zuhao Yang, Zichen Wen, Lei Zhang
- arXiv · 13 Oct 2026Joint Neural Posterior Estimation and Model Selection for Chemical Reaction Networks
J. Arturo Esquivel, Jorge A. Campos-Gonzalez-Angulo, Sergio Pablo-García, Alán Aspuru-Guzik, Vianey Leos-Barajas
- arXiv · 13 Oct 2026Read the Room Before Your Model Generates
Muyao Kong, Zhihao Lin
- arXiv · 13 Oct 2026Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs
Divyanshu Bathla, Parag Singla, Jitin Singla
- arXiv · 13 Oct 2026Self-Evolving Agent Harness
Chuyang Wei, Haoxiang Guan, Minghang Zhu, Kexin Zhou, Jiyan He, Xiren Zhou, Huanhuan Chen, Yifei Shen
- arXiv · 13 Oct 2026Statistical Vignettes on the Grokking Phenomenon
Baye Malick Gning, Elvis Dohmatob
- arXiv · 13 Oct 2026Depth Memory
David González-Martínez, Philipp Nazari, T. Konstantin Rusch, Shiwei Liu
- arXiv · 13 Oct 2026Optimizing Team Behavior via Extremum-seeking Control in Multi-agent Reinforcement Learning
Svar Rajankumar Patel, Kshitij Jerath
- arXiv · 13 Oct 2026SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection
Wenlin Zhong, Hao Wang, Kun Yuan, Fan Yang, Jinluan Yang, Dian Jin, Xu Tan, Yiquan Wu
- arXiv · 13 Oct 2026Registration is a Representation Problem: Solving Whole-Body PET/CT Registration
Neel Dey, Adrian V. Dalca
From AI lab blogs
- NVIDIA Blog · 20 Oct 2026 · labGermany Wants to Lead the World in Industrial AI: How NVIDIA Will Help
In the cavernous hall of Kraftwerk, a former power station in Berlin, German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang sat down to discuss Germany’s AI roadmap, and in particular, the industrial applications of AI. Huang opened by tracing NVIDIA’s longstan
- Meta Engineering (AI) · 19 Oct 2026 · labGenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary
Generative Recommenders (GenRecs) represent a paradigm shift from scoring every ad to reasoning about ad content and user preferences together in order to predict the best outcome for advertisers. Leveraging the world knowledge built into LLMs makes ad matching more intelligent a
- Meta Engineering (AI) · 19 Oct 2026 · labThe Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do
Sometimes, giving an AI agent all of the knowledge it needs is the wrong approach. At Meta, we ve seen notable improvements in efficiency and accuracy by keeping the orchestration layer of our data pipeline agents deliberately thin: It routes work and enforces reliability checks,
- NVIDIA Blog · 19 Oct 2026 · labNVIDIA Advances Agentic Security for Media, From European Public Service Broadcasting to Global Content Production
At a creative industry event that took place today in Berlin — hosted in collaboration with Adobe, Bertelsmann, NVIDIA and UFA — the latest advancements in intelligent media were on display. Key to the news: the European Broadcasting Union (EBU) is collaborating with NVIDIA to ex
- OpenAI News · 19 Oct 2026 · labAdvancing coding in low‑resource programming languages
Learn how OpenAI is improving ChatGPT across low-resource programming languages, with new evaluations for software engineering, SQLite, and COBOL migration.
- Hugging Face Blog · 19 Oct 2026 · labTorchNeuron: running HF models on AWS Trainium is easier than ever
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 · 20 Oct 2026 · blogMy obituary for programming
My obituary for programming Jeremy Scheff poignantly captures the key loss caused by coding agents for career programmers who enjoyed the puzzle of developing code: Programming turned into one of the greatest jobs you could imagine. You got paid to work on tricky little logic puz
- AWS Machine Learning Blog · 20 Oct 2026 · blogStructured outputs for Anthropic Claude models on Amazon Bedrock
Amazon Bedrock now supports structured outputs for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints. Receive schema-compliant JSON that conforms to a defined structure, without custom parsing, retry logic, or post-processing, using JSON Schema
- AWS Machine Learning Blog · 20 Oct 2026 · blogDevelopers can now access SageMaker Studio through the new AWS experience
New Amazon SageMaker AI customers can now land in a fully configured SageMaker Studio environment in only a few steps. Sign up with an identity you already have, such as Amazon, Apple, GitHub, or Google, with no advanced AWS account or credit card required for most customers, plu
- AWS Machine Learning Blog · 20 Oct 2026 · blogAmazon SageMaker JumpStart: 2026 year-to-date in review
Amazon SageMaker JumpStart onboarded over 100 new models from 30 providers in the first three quarters of 2026. This recap covers the model-onboarding highlights and JumpStart enhancements, including the simplified Model Hub, pre-configured deployment options, and Hugging Face de
- AWS Machine Learning Blog · 19 Oct 2026 · blogPegasus 1.5 from TwelveLabs is now available in Amazon Bedrock
TwelveLabs Pegasus 1.5 is now available in Amazon Bedrock. The video language model turns long-form video into structured, timestamped metadata: define the moments that matter and get every matching segment back as JSON, with new video segmentation, multimodal prompting with refe
- AWS Machine Learning Blog · 19 Oct 2026 · blogHow Deepgram optimized voice AI at scale with AWS Trainium
Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning, a data-parallel Rust runtime, and the throughput and cost re
- AWS Machine Learning Blog · 19 Oct 2026 · blogPush-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM
vLLM's prefill-decode disaggregation splits LLM inference across engine instances but must transfer the KV cache between them. This post introduces a push-based NIXL connector that moves transfer coordination off the critical path, delivering up to 3x better TTFT and 30% better T
- AWS Machine Learning Blog · 19 Oct 2026 · blogImprove TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM
Multi-turn agentic workloads reprocess growing conversation context each turn, driving up latency. See how bi-directional KV cache transfer lets prefill and decode nodes reuse previously computed context across turns, cutting time to first token by up to 1.6x for Qwen3-32B and 3.
- Import AI · 19 Oct 2026 · blogImport AI 477: In which I tell the IMF the Singularity has begun
What do you think?
- Simon Willison · 19 Oct 2026 · blogllm-tools-datasette 0.1.1
Release: llm-tools-datasette 0.1.1 When I switched LLM over to httpx2 in LLM 0.33 I forget that this would break any plugins which used httpx without directly depending on it. llm-tools-datasette was one of those plugins, now fixed. Tags: datasette , llm
- Simon Willison · 19 Oct 2026 · blogllm-echo 0.5
Release: llm-echo 0.5 I'm working towards a new LLM release, and testing PRs caused me to revisit the llm-echo debug plugin. This plugin provides a "model" which doesn't involve an LLM at all - it just repeats back the prompts that have been fed to it. The new release now updates
- Simon Willison · 18 Oct 2026 · blogInline rendering with document.currentScript
Inline rendering with document.currentScript Lean Rada describes a neat trick that takes advantage of the document.currentScript property. You can use that to drop in a tiny inline script element that replaces itself when the page loads: The year is script document.currentScript