1 citations · 2 across the 3 of their papers we have counts for
5 papers
Temporal Evidence Allocation For Longitudinal Clinical Retrieval: A Position And Technical Report
Soumya Ranjan Sahoo, Divya Bharti, Sanand Sasidharan
Electronic health records are written to support care, not retrieval. Across years of oncology notes, the primary diagnosis is restated in report after report, while the events tha…
Negation is Not Semantic: Diagnosing Dense Retrieval Failure Modes for Trade-offs in Contradiction-Aware Biomedical QA
Soumya Ranjan Sahoo, Gagan N., Sanand Sasidharan +1
Large Language Models (LLMs) have demonstrated strong capabilities in biomedical question answering, yet their tendency to generate plausible but unverified claims poses serious ri…
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler
Paramita Mirza, Viju Sudhi, Soumya Ranjan Sahoo +1
State-of-the-art intent classification (IC) and slot filling (SF) methods often rely on data-intensive deep learning models, limiting their practicality for industry applications.…
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models
Ken E. Friedl, Abbas Goher Khan, Soumya Ranjan Sahoo +3
The assessment of advanced generative large language models (LLMs) poses a significant challenge, given their heightened complexity in recent developments. Furthermore, evaluating…
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering
Md Rashad Al Hasan Rony, Christian Suess, Sinchana Ramakanth Bhat +6
Large language models (LLMs) have demonstrated remarkable performance by following natural language instructions without fine-tuning them on domain-specific tasks and data. However…