no code implementations • 14 Feb 2024 • Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles Clarke
The rapid development in the field of Large Language Models (LLMs) has led to a surge in applications that facilitate collaboration among multiple agents to assist humans in their daily tasks.
no code implementations • 2 Dec 2023 • Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett
The remarkable abilities of large language models (LLMs) like GPT-4 partially stem from post-training processes like Reinforcement Learning from Human Feedback (RLHF) involving human preferences encoded in a reward model.
no code implementations • 6 Mar 2023 • Victor Dibia
Systems that support users in the automatic creation of visualizations must address several subtasks - understand the semantics of data, enumerate relevant visualization goals and generate visualization specifications.
no code implementations • 29 Oct 2022 • Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi
Large language models have demonstrated great potential to assist programmers in generating code.
1 code implementation • EMNLP 2020 • Victor Dibia
Existing tools for Question Answering (QA) have challenges that limit their use in practice.
no code implementations • 28 May 2018 • Victor Dibia, Aaron Cox, Justin Weisz
Existing research highlight the myriad of benefits realized when technology is sufficiently democratized and made accessible to non-technical or novice users.
2 code implementations • 9 Apr 2018 • Victor Dibia, Çağatay Demiralp
Rapidly creating effective visualizations using expressive grammars is challenging for users who have limited time and limited skills in statistics and data visualization.