4 citations · 7 across the 6 of their papers we have counts for
5 papers · 1 filter
PhysicsSolutionAgent: Towards Multimodal Explanations for Numerical Physics Problem Solving
Aditya Thole, Anmol Agrawal, Arnav Ramamoorthy +1
Explaining numerical physics problems often requires more than text-based solutions; clear visual reasoning can substantially improve conceptual understanding. While large language…
Personalized Text Generation with Fine-Grained Linguistic Control
Bashar Alhafni, Vivek Kulkarni, Dhruv Kumar +1
As the text generation capabilities of large language models become increasingly prominent, recent studies have focused on controlling particular aspects of the generated text to m…
mEdIT: Multilingual Text Editing via Instruction Tuning
Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni +2
We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance. mEdIT models are trained by fine-tuning multi-lin…
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
Jierui Li, Vipul Raheja, Dhruv Kumar
In recent times, large language models (LLMs) have shown impressive performance on various document-level tasks such as document classification, summarization, and question-answeri…
Speakerly: A Voice-based Writing Assistant for Text Composition
Dhruv Kumar, Vipul Raheja, Alice Kaiser-Schatzlein +5
We present Speakerly, a new real-time voice-based writing assistance system that helps users with text composition across various use cases such as emails, instant messages, and no…