57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Virginia Polytechnic Institute aSandia National LaboratoriesVirginia Tech / AmazonAutomated scientific discoveryLLM-AutoSciLab: Closed-Loop Scientific Law Discovery via Active Experimentation with LLMsSanchit Kabra, Nikhil Abhyankar, Saaketh Desai, Prasad Iyer and 1 moreParis Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026SolverXKorea Advanced Institute of ScieSeoul NationalTelepixArizona StatePhysics-informed ML & PDEsPDE-PFN: Prior-Data Fitted Neural PDE SolverJaehyeon Park, Mingu Kang, Dongseok Lee, Woojin Cho and 4 moreSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Inductive TechnologiesSanta Fe Instituteuci.eduSandia National LaboratoriesLLM evaluation & benchmarksDistinguishing Performance From Competence in Evaluations of Humanlike Abstract ReasoningClaas Beger, Ryan Yi, Shuhao Fu, Kaleda K Denton and 4 moreSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
80%Must read?Must readVote to see the scoreNeurIPS 2026U Illinois at Urbana-ChampaignSandia National LaboratoriesU Illinois Urbana-ChampaignAnomaly detectionTiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly DetectionVisAnomReasoner is a parameter-efficient vision-language model that improves time-series anomaly detection precision and F1 by over 21 points via VisAnomBench fine-tuning with natural-language rationales.Xiaona Zhou, Tianjiao (Joey) Yu, Muntasir Wahed, Constantin Brif and 1 moreAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face– ReadersNo votes yet12/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 12 of 20 reviewers recommend itlenient 4/5medium 6/10strict 2/5