Publication Renee: End-to-end training of extreme classification models Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023 Projet
Publication Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata (Subho) Mukherjee, Srijan Kumar ACL 2023 | June 2023
Publication Mitigating Filter Bubbles Under a Competitive Diffusion Model Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2023
Publication MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li, Byron Boots, Ching-An Cheng ICML 2023 | June 2023
Publication HyperTuning: Toward Adapting Large Language Models without Back-propagation Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen ICML 2023 | June 2023
Publication Orca: Progressive Learning from Complex Explanation Traces of GPT-4 Subhabrata (Subho) Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah arXiv: Computation and Language | June 2023 Vidéo Projet
Publication Multi-market Energy Optimization with Renewables via Reinforcement Learning Lucien Werner, Peeyush Kumar June 2023 June 2023 Projet
Publication Kosmos-2: Grounding Multimodal Large Language Models to the World Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei June 2023 June 2023
Publication Fine-tuning large neural language models for biomedical natural language processing Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon Patterns | June 2023, Vol 4(4)
Publication Uncovering and Categorizing Social Bias in Text-to-SQL Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou ACL 2023 | June 2023