45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026ELLIS Institute Tübingen, Max PlETH Zurich; Max-Planck-InstituteMax Planck Institute for IntelliETHZ - ETH ZurichETH ZurichRepresentation & contrastive learningFixed-Point Reasoning: Stable and Adaptive Deep Looped ModelsSajad Movahedi, Shlomo Libo Feigin, Vera Milovanović, Alexander Theus and 4 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 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: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
80%Must read?Must readVote to see the scoreNeurIPS 2026ELLIS Institute Tübingen, MPI-ISMax Planck Institute for IntelliELLIS, University of StuttgartEberhard-Karls-Universität TübinInstitute for AI, UnivAgent benchmarks & environmentsFutureSim: Replaying World Events to Evaluate Adaptive AgentsFutureSim replays real-world events chronologically to benchmark adaptive AI agents forecasting future news, finding top accuracy at only 25%.Shashwat Goel, Nikhil Chandak, Arvindh Arun, Ameya Prabhu and 4 moreSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 56– 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 5/5medium 6/10strict 1/5
91%Must read?Must readVote to see the scoreNeurIPS 2026U CambridgeIsomorphic labsGoogle DeepMindImperial College LondonELLIS Institute Tübingen, MPI-ISReward models & LLM-as-a-judgeRethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended TasksRRD refines rubrics via recursive decomposition and filtering to improve LLM judge accuracy and reinforcement training rewards on open-ended tasks.William Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki and 5 moreSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet17/20 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: 17 of 20 reviewers recommend itlenient 5/5medium 10/10strict 2/5
71%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026Università Campus Bio-Medico di Campus Bio-Medico University of ELLIS Institute Tübingen, MPI-ISLLM pretraining & scaling lawsTowards Understanding Self-Pretraining for Sequence ClassificationSelf-pretraining improves sequence classification by learning proximity-biased attention patterns that supervised training misses from random initialization.Omar Coser, Loredana Zollo, Paolo Soda, Antonio OrvietoParis Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026– ReadersNo votes yet7/20 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: 7 of 20 reviewers recommend itlenient 3/5medium 3/10strict 1/5