222 citations · 328 across the 139 of their papers we have counts for
10 papers · 1 filter
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare
Akash Ghosh, Arkadeep Acharya, Raghav Jain +3
In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medi…
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models
Ibtihel Amara, Vinija Jain, Aman Chadha
We tackle the challenging issue of aggressive fine-tuning encountered during the process of transfer learning of pre-trained language models (PLMs) with limited labeled downstream…
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
Yixin Wan, Jieyu Zhao, Aman Chadha +2
Recent advancements in Large Language Models empower them to follow freeform instructions, including imitating generic or specific demographic personas in conversations. We define…
Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring
Ankitha Sudarshan, Vinay Samuel, Parth Patwa +2
Automatic Speech Recognition (ASR) has witnessed a profound research interest. Recent breakthroughs have given ASR systems different prospects such as faithfully transcribing spoke…
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation
Shivang Chopra, Suraj Kothawade, Houda Aynaou +1
Domain Adaptation (DA) is a method for enhancing a model's performance on a target domain with inadequate annotated data by applying the information the model has acquired from a r…
Artificial Intelligence in Career Counseling: A Test Case with ResumAI
Muhammad Rahman, Sachi Figliolini, Joyce Kim +4
The rise of artificial intelligence (AI) has led to various means of integration of AI aimed to provide efficiency in tasks, one of which is career counseling. A key part of gettin…
Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi
Maithili Sabane, Onkar Litake, Aman Chadha
The recent advances in deep-learning have led to the development of highly sophisticated systems with an unquenchable appetite for data. On the other hand, building good deep-learn…
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
Paras Sheth, Tharindu Kumarage, Raha Moraffah +2
Social media platforms, despite their value in promoting open discourse, are often exploited to spread harmful content. Current deep learning and natural language processing models…
Findings of Factify 2: Multimodal Fake News Detection
S Suryavardan, Shreyash Mishra, Megha Chakraborty +9
With social media usage growing exponentially in the past few years, fake news has also become extremely prevalent. The detrimental impact of fake news emphasizes the need for rese…
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework
Paras Sheth, Tharindu Kumarage, Raha Moraffah +2
Hate speech detection refers to the task of detecting hateful content that aims at denigrating an individual or a group based on their religion, gender, sexual orientation, or othe…