170 citations · 905 across the 84 of their papers we have counts for
5 papers · 1 filter
From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification
Mai Mohamed Eida, Gunjan Anand, Ayush Singh +1
LLMs can generate fluent descriptions from tables, but their outputs may remain logically unsupported by the structured data. We introduce STAT-TO-TEXT, a controlled task in which…
SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization
Kunal Suri, Prakhar Mishra, Saumajit Saha +1
Finetuning Large Language Models helps improve the results for domain-specific use cases. End-to-end finetuning of large language models is time and resource intensive and has high…
Language Models sounds the Death Knell of Knowledge Graphs
Kunal Suri, Atul Singh, Prakhar Mishra +2
Healthcare domain generates a lot of unstructured and semi-structured text. Natural Language processing (NLP) has been used extensively to process this data. Deep Learning based NL…
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English
Abhinav Goyal, Anupam Singh, Nikesh Garera
Automation of on-call customer support relies heavily on accurate and efficient speech-to-intent (S2I) systems. Building such systems using multi-component pipelines can pose vario…
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
A. K. Bhavani Singh, Mounika Guntu, Ananth Reddy Bhimireddy +2
In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing. With the…