BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues
Prashant Jayannavar, Liliang Ren, Marisa Hudspeth, Risham Sidhu, Charlotte Lambert, Ariel Cordes, Elizabeth Kaplan, Anjali Narayan-Chen, Julia Hockenmaier
机构
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University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
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Microsoft(微软)
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University of Massachusetts Amherst(马萨诸塞大学阿姆赫斯特分校)
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Amazon(亚马逊)
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Amazon AGI(亚马逊人工智能实验室)
Commentsmajor revision; few examples of changes: added contemporary LLMs and new SOTA model, improved readability, expanded related work, etc
FAIR Universe HiggsML Uncertainty Dataset and Competition
Lisa Benato, Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Po-Wen Chang, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Aishik Ghosh, Cristina Giordano, Isabelle Guyon, Chris Harris, Yota Hashizume, Shih-Chieh Hsu, Elham E. Khoda, Claudius Krause, Ang Li, Benjamin Nachman, Peter Nugent, David Rousseau, Robert Schoefbeck, Maryam Shooshtari, Dennis Schwarz, Benjamin Thorne, Ihsan Ullah, Daohan Wang, Yulei Zhang
机构
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Institute for High Energy Physics, Vienna(维也纳高等研究院)
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Lawrence Berkeley National Laboratory(伯克利国家实验室)
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Université Paris-Saclay, CNRS/IN2P3, IJCLab ChaLearn(巴黎-萨克雷大学,CNRS/IN2P3,IJCLab ChaLearn)
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University of Washington, Seattle(华盛顿大学,西雅图)
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University of California, Berkeley(加州大学伯克利分校)
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University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
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University of California, San Diego(加州大学圣地亚哥分校)
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ChaLearn
CommentsFAIR Universe HiggsML Uncertainty Challenge Competition, submitted to NeurIPS 2025, Benchmark and Datasets track