1 citations · 1 across the 9 of their papers we have counts for
10 papers
MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
Lukas Thede, Yash Kumar Atri, David Chen +4
Constantly evolving real-world knowledge necessitates models to be updated continuously. Especially in medicine, as clinical evidence changes over time, outdated knowledge can pose…
Evaluating Temporal Consistency in Multi-Turn Language Models
Yash Kumar Atri, Steven L. Johnson, Tom Hartvigsen
Language models are increasingly deployed in interactive settings where users reason about facts over time rather than in isolation. In such scenarios, correct behavior requires mo…
Continually Self-Improving Language Models for Bariatric Surgery Question--Answering
Yash Kumar Atri, Thomas H Shin, Thomas Hartvigsen
While bariatric and metabolic surgery (MBS) is considered the gold standard treatment for severe and morbid obesity, its therapeutic efficacy hinges upon active and longitudinal en…
Model Editing with Graph-Based External Memory
Yash Kumar Atri, Ahmed Alaa, Thomas Hartvigsen
Large language models (LLMs) have revolutionized natural language processing, yet their practical utility is often limited by persistent issues of hallucinations and outdated param…
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization
Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
Abstractive text summarization is surging with the number of training samples to cater to the needs of the deep learning models. These models tend to exploit the training data repr…
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents
Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
The realm of scientific text summarization has experienced remarkable progress due to the availability of annotated brief summaries and ample data. However, the utilization of mult…
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar +2
Citation plays a pivotal role in determining the associations among research articles. It portrays essential information in indicative, supportive, or contrastive studies. The task…
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri +1
Due to the over-emphasize of the quantity of data, the data quality has often been overlooked. However, not all training data points contribute equally to learning. In particular,…
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization
Yash Kumar Atri, Shraman Pramanick, Vikram Goyal +1
In recent years, abstractive text summarization with multimodal inputs has started drawing attention due to its ability to accumulate information from different source modalities a…
Corpora Evaluation and System Bias Detection in Multi-document Summarization
Alvin Dey, Tanya Chowdhury, Yash Kumar Atri +1
Multi-document summarization (MDS) is the task of reflecting key points from any set of documents into a concise text paragraph. In the past, it has been used to aggregate news, tw…