论文与出版物 The MineRL BASALT Competition on Learning from Human Feedback Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William Guss, Sharada Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca Dragan NeurIPS 2023 | November 2023
论文与出版物 On comparing fair classifiers under data bias Mohit Sharma, Amit Deshpande, Avinash Anand NeurIPS workshop Algorithmic Fairness through the Lens of Time | November 2023
论文与出版物 Interactive Robot Learning from Verbal Correction Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
论文与出版物 TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon ArXiv | November 2023
论文与出版物 Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E Turner Conference on Lifelong Learning Agents | November 2023
论文与出版物 Unlocking Spatial Comprehension in Text-to-Image Diffusion Models Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle November 2023
论文与出版物 Implicit Chain of Thought Reasoning via Knowledge Distillation Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart Shieber ArXiv | November 2023
论文与出版物 CODEFUSION: A Pre-trained Diffusion Model for Code Generation Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen, Carina Negreanu EMNLP 2023 | November 2023 视频
论文与出版物 STEAM: Observability-Preserving Trace Sampling Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang ESEC/FSE 2023 | November 2023 项目 项目
论文与出版物 Enhancing Network Management Using Code Generated by Large Language Models Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula ACM Workshop on Hot Topics in Networks (HotNets) | November 2023 Github