7 citations · 16 across the 7 of their papers we have counts for
7 papers
Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing
Mayank Kothyari, Sunita Sarawagi, Soumen Chakrabarti +2
LLMs are increasingly used as seq2seq translators from natural language utterances to structured programs, a process called semantic interpretation. Unlike atomic labels or token s…
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
Prasenjit Dey, Srujana Merugu, Sivaramakrishnan Kaveri
Large Language Models (LLMs) are known to hallucinate and generate non-factual outputs which can undermine user trust. Traditional methods to directly mitigate hallucinations, such…
Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning
Gaurav Arora, Srujana Merugu, Shreya Jain +1
Reasoning and linguistic skills form the cornerstone of human intelligence, facilitating problem-solving and decision-making. Recent advances in Large Language Models (LLMs) have l…
Intent Detection in the Age of LLMs
Gaurav Arora, Shreya Jain, Srujana Merugu
Intent detection is a critical component of task-oriented dialogue systems (TODS) which enables the identification of suitable actions to address user utterances at each dialog tur…
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi +1
Binary classification involves predicting the label of an instance based on whether the model score for the positive class exceeds a threshold chosen based on the application requi…
Interpretability of Epidemiological Models : The Curse of Non-Identifiability
Ayush Deva, Siddhant Shingi, Avtansh Tiwari +5
Interpretability of epidemiological models is a key consideration, especially when these models are used in a public health setting. Interpretability is strongly linked to the iden…
COVID-19: Strategies for Allocation of Test Kits
Arpita Biswas, Shruthi Bannur, Prateek Jain +1
With the increasing spread of COVID-19, it is important to systematically test more and more people. The current strategy for test-kit allocation is mostly rule-based, focusing on…