57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026MBZUAIMohamed bin Zayed University of U Electronic Science and TechnolU Notre DameMohamed bin Zayed University of Machine unlearningFrom Facts to Personas: Interpretable Role Unlearning in LLMs via Mixture-of-ExpertsRuihong Zeng, Puning Yang, Jinghui Zhang, Shen Gao and 3 moreSydney Poster Session 1, Tue, Dec 8, 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
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Mohamed bin Zayed University of RIKENU OxfordHKBU / RIKENMohamed bin Zayed University of Machine unlearningUnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?Puning Yang, Qizhou Wang, Junchi Yu, Bo Han and 1 moreSydney Poster Session 4, Wed, Dec 9, 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
71%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026Mohamed bin Zayed University of SeeViaAIMBZUAIMohamed bin Zayed University of SkoltechRepresentation & contrastive learningConvex Compositional Reasoning ModelsConvex Compositional Energy Minimization uses input-convex factor networks and convex relaxation to enable scalable deterministic compositional reasoning that transfers to larger instances without retraining.Meir Roketlishvili, Semen Semenov, Maksim Bobrin, Viktor Kovalchuk and 6 moreAtlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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 2/5medium 4/10strict 1/5