AI Research Papers
New papers daily from arXiv and Hugging Face Daily Papers, plus posts from top AI lab research blogs.
- 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 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 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 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 2026Rubrics from the Task, Verdicts from Evidence: Pointwise Rubric Rewards with Tool-Augmented Judges
Tianci Liu, Haoyu Wang
- HF Daily Papers · 13 Oct 2026 · ▲ 4Beyond the Verdict: Agentic Code Judging with Verifiable Feedback
Zheye Deng, Sha Li, Changlong Yu, Xin Liu, Qin Lu, Priyanka Nigam, Yangqiu Song
- arXiv · 13 Oct 2026PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards
Yunkai Zhan, Miaosen Chai, Shangshang Wang, Jike Zhong, Yuqing Yang, Deqing Fu, Serina Chang, Wang Bill Zhu
- HF Daily Papers · 13 Oct 2026 · ▲ 1Enabling Token-wise Importance Sampling in Off-Policy RLVR with Proximal KL Regularization
Hao Bai, Jiarui Yao, Tong Zhang
- arXiv · 13 Oct 2026Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains
Muhammad Umar Farooq, Daniel R. Cooper
- arXiv · 13 Oct 2026Unlocking Token Rewards via Training-Free Reward Attribution
Sitong Wu, Haoru Tan, Bin Xia, Xichen Zhang, Jingyao Li, Shaofeng Zhang, Xiaojuan Qi, Bei Yu
- arXiv · 13 Oct 2026ProAS: 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
- arXiv · 13 Oct 2026Model-Based Online Decision Making via Generative Trajectory Planning
Haldun Balim, Yilun Du, Na Li
- HF Daily Papers · 13 Oct 2026 · ▲ 1Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents
Ashutosh Hathidara
- arXiv · 13 Oct 2026Does self-distillation improve reasoning?
Jason Ken Adhinarta, Raina Wu, Ashutosh Sharma, Avinash Balakrishnan, Rameswar Panda, Polina Golland, Yoon Kim, Zhang-Wei Hong
- arXiv · 13 Oct 2026Legal-R1: Agentic Retrieval for Evidence-Based Legal Reasoning
Huaiwen Pang, Jiale Han, Junying Chen, Wenjun Xiao, Benyou Wang
- HF Daily Papers · 13 Oct 2026 · ▲ 7ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models
Changyeon Kim, Kimin Lee, Yashraj Narang, Yijie Guo
- arXiv · 13 Oct 2026Compare to Correct: Pairwise-Guided Logit Adjustment for LLM Test-Time Scaling
Cong Hua, Qianqian Xu, Zitai Wang, Zhiyong Yang, Shilong Bao, Linchao Zhang, Qingming Huang
- 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 · 13 Oct 2026 · ▲ 110Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes
Yu Wang, Rui Dai, Wei Chen, Yi Wang, Bo Dang, Kaikui Liu, Xiangxiang Chu, Yansheng Li
- HF Daily Papers · 13 Oct 2026 · ▲ 193Agent-Reflex: Teaching Language Agents to Act Reflectively
Guanting Dong, Xinyu Yang, Jiajie Jin, Yuyang Hu, Xiaoshuai Song, Yifei Chen, Xiaoxi Li, Jiejun Tan
- HF Daily Papers · 13 Oct 2026 · ▲ 34FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching
Ruchang Yao, Shi Guo, Junhao Zhuang, Mingde Yao, Xin Cai, Jiahao Zhan, Bin Fu, Xinyuan Chen
- HF Daily Papers · 12 Oct 2026 · ▲ 13LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards
Qize Yu, Zijun Chen, Chen Wu, Yue Chen, Yiyao Yu, Tingfeng Hui, Bowen Ping, Junchi Yan
- HF Daily Papers · 12 Oct 2026 · ▲ 1EventLens: Event-Structure Reinforcement Learning for Video Understanding
Guowen Zhang, Boshen Xu, Zihao Yue, Ziheng Wang, Xiaokun Liu, Xin Tao, Wenyu Qin, Pengfei Wan
- OpenAlex · Artificial intelligence · 27 Sept 2026Showing versus Doing: Teaching by Demonstration
["Mark K. Ho","Michael L. Littman","James MacGlashan","Fiery Andrews Cushman","Joseph L. Austerweil"]
- OpenAlex · Artificial intelligence · 14 Jun 2026Maya-Mimamsa P1: Apurva A Reward-Receipt-Gated Eligibility Trace for Delay-Invariant Credit Assignment in Spiking Neural Networks
["Venkatesh Swaminathan"]
- OpenAlex · Artificial intelligence · 6 Jun 2026Maya-Samvad P1: Spandana — Hebbian Trust Acquisition and Complexity Emergence in a Seven-Population Antahkarana SNN
["Venkatesh Swaminathan"]
- OpenAlex · Artificial intelligence · 9 May 2026A Survey of Large Language Models
["Wayne Xin Zhao","Kun Zhou","Junyi Li","Tianyi Tang","Zican Dong","Yupeng Hou","Beichen Zhang","Yingqian Min","Junjie Zhang","Peiyu Liu","Xiaolei Wang","Yifan Du"]
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