67%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026U Illinois ChicagoU Illinois at ChicagoIllinois Institute of TechnologyU WashingtonState University of New York at Agent benchmarks & environmentsJARVIS-Bench: Benchmarking Personal Intelligence Agents on Long-Horizon Real-User Daily TracesWeizhi Zhang, Wei-Chieh Huang, Yueqing Liang, Liwei Jiang and 36 moreAtlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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
89%Must read?Must readVote to see the scoreNeurIPS 2026Google UNSWGoogleU Illinois ChicagoU California, Los AngelesU CambridgeBiosignals & wearablesGlucoFM: A Dual-Stream Foundation Model for Continuous Glucose MonitoringGlucoFM decomposes CGM data into dual slow and short-term streams for pretraining, improving linear-probe phenotype classification and postprandial response prediction over prior models.Zechen Li, Keerthana Natarajan, Weizhi Zhang, Simon Lee and 10 moreAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face– 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
83%Must read?Must readVote to see the scoreNeurIPS 2026U New South WalesGoogle UNSWHong Kong University of Science MBZUAIUNSW SydneyAgent memoryMAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge GraphsMAGE externalizes self-knowledge into co-evolutionary knowledge graphs that guide frozen-learner agents, achieving strong multi-benchmark gains via complementary success and correction memories.Ruiyi Yang, Zechen Li, Hao Xue, Imran Razzak and 1 moreSydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet13/20 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: 13 of 20 reviewers recommend itlenient 4/5medium 8/10strict 1/5