1 code implementation • 16 Feb 2024 • Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, ZiRui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen
We use TutorChat to fine-tune Llemma models with 7B and 34B parameters.
2 code implementations • NeurIPS 2023 • John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
Our framework is language and platform agnostic, uses self-contained Docker environments to provide safe and reproducible execution, and is compatible out-of-the-box with traditional seq2seq coding methods, while enabling the development of new methods for interactive code generation.
1 code implementation • NAACL 2022 • Deeksha Varshney, Akshara Prabhakar, Asif Ekbal
In this paper, we present a novel open-domain dialogue generation model which effectively utilizes the large-scale commonsense and named entity based knowledge in addition to the unstructured topic-specific knowledge associated with each utterance.
1 code implementation • 23 Nov 2021 • Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand
We employ a variant of the Teacher-Student model and optimize it jointly on the pseudo labels of the Teacher model and predictions on the generated weakly labeled data.