45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Beijing JiaotongCommunication University of ChinSemi- & weakly supervised learningDecoupled Optimization for Teacher-Student Semi-Supervised Learning via a Pioneer StudentHaorong Han, Jidong Yuan, Chixuan Wei, Yongqi SunSydney 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
67%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026Syneron BioJilinChangchun University of Science Communication University of ChinSyneron OpalMolecules & drug discoveryPepDDG: Peptide–Protein Binding ΔΔ𝐺 Prediction via Information Channel DecompositionRuochi Zhang, Yusi Fan, Qiong Zhou, Li Jiao and 9 moreSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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 2/5medium 0/10strict 0/5
67%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026BeihangBeihang University, BeijingBeijing University of AeronauticRenmin University of ChinaDidi ChuxingVision-language-action modelsCoarse-to-Refine: Trajectory Self-Refinement in Single Autoregressive Pass for Driving VLACanyu Chen, Yuguang Yang, Jianing Pang, Zhewen Tan and 8 moreSydney Poster Session 5, Thu, Dec 10, 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 2/5medium 0/10strict 0/5
91%Must read?Must readVote to see the scoreNeurIPS 2026TsinghuaJD.comTsinghua University, TsinghuaBeijing Institute of TechnologyTianjinVision-language modelsMM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue LocalizationMM-IssueLoc benchmarks multimodal repository-level issue localization using visual evidence across 652 instances, showing current systems achieve under 39% file accuracy and text-only scores do not transfer.Shaoxiong Zhan, Shi Hu, Hai Lin, BoyuFeng and 6 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 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 9/10strict 3/5