2 citations · 3 across the 5 of their papers we have counts for
6 papers
Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
Sheshera Mysore, Debarati Das, Hancheng Cao +1
As large language models (LLMs) are used in complex writing workflows, users engage in multi-turn interactions to steer generations to better fit their needs. Rather than passively…
LawFlow: Collecting and Simulating Lawyers' Thought Processes on Business Formation Case Studies
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar +8
Legal practitioners, particularly those early in their careers, face complex, high-stakes tasks that require adaptive, context-sensitive reasoning. While AI holds promise in suppor…
Under the Surface: Tracking the Artifactuality of LLM-Generated Data
Debarati Das, Karin De Langis, Anna Martin-Boyle +14
This work delves into the expanding role of large language models (LLMs) in generating artificial data. LLMs are increasingly employed to create a variety of outputs, including ann…
Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models
Debarati Das, Ishaan Gupta, Jaideep Srivastava +1
Our research integrates graph data with Large Language Models (LLMs), which, despite their advancements in various fields using large text corpora, face limitations in encoding ent…
Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer
Debarati Das, David Ma, Dongyeop Kang
Text style transfer is an exciting task within the field of natural language generation that is often plagued by the need for high-quality paired datasets. Furthermore, training a…
Pseudo-Cores: The Terminus of an Intelligent Viral Meme's Trajectory
Yayati Gupta, Debarati Das, S. R. S. Iyengar
Comprehending the virality of a meme can help us in addressing the problems pertaining to disciplines like epidemiology and digital marketing. Therefore, it is not surprising that…