67%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026National University of SingaporeUC BerkeleyNUS, CMUFairness & biasTreat Bias as Noise: Training Bias-Robust LLM Reasoning via Reinforcement LearningQian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou and 3 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet2/20 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: 2 of 20 reviewers recommend itlenient 1/5medium 1/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026National University of SingaporeNUS, CMUCode generationHDL-RepoBench: Multi-Paradigm Repository-Level Code Completion for Hardware Design LanguagesQingyun Zou, Jiahao Cui, Nuo Chen, Bingsheng He and 1 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 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
89%Must read?Must readVote to see the scoreNeurIPS 2026U California, Santa BarbaraJohns HopkinsThe Chinese University of Hong KNUS, CMUU Southern CaliforniaAgent memoryWorldMemArena: Evaluating Multimodal Agent Memory Through Action–World InteractionWorldMemArena evaluates multimodal agent memory through an action-world loop, showing writing and storage improvements do not guarantee performance and harness-based memory remains costly and unreliable.Chengzhi Liu, Yuzhe YANG, Sophia Xiao Pu, Yepeng Liu and 15 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 29– ReadersNo votes yet16/20 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: 16 of 20 reviewers recommend itlenient 5/5medium 8/10strict 3/5