collaborators

8 papers

cs.AI2026

Answering clinicians' questions over trial evidence tables with verifiable, feedback-driven language models

Manan Roy Choudhury, Suparno Roy Chowdhury, Swastik Sahoo +5

Systematic reviews condense clinical trials into evidence tables, yet clinicians can interrogate these tables only through database queries, and many questions concern attributes t…

cs.CL2026

SentryLine: Evidence-Grounded Question Answering over Evolving Documents in Oncology Care

Tampu Ravi Kumar, Gaurav Najpande, Muhammad Ali Khan +7

Oncology care operates at constant pressure of absorbing rapidly evolving evidence base in biomedicine. The American Society of Clinical Oncology (ASCO) addresses this through livi…

cs.CR2026

CIPHER: Benchmarking Cross-record Inference over Privacy-Hardened Evidence Records

Suparno Roy Chowdhury, Manan Roy Choudhury, Dhruv Madhwal +1

Reasoning over privacy-constrained records requires combining structured attributes with evidence from free-text narratives. We introduce CIPHER (Cross-record Inference over Privac…

cs.CL2026

SCOPE:Planning for Hybrid Querying over Clinical Trial Data

Suparno Roy Chowdhury, Manan Roy Choudhury, Tejas Anvekar +5

We study clinical trial table reasoning, where answers are not directly stored in visible cells but must be reasoned from semantic understanding through normalization, classificati…

cs.CL2026

FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use

Suparno Roy Chowdhury, Tejas Anvekar, Manan Roy Choudhury +5

Clinicians exploring oncology trial repositories often need ad-hoc, multi-constraint queries over biomarkers, endpoints, interventions, and time, yet writing SQL requires schema ex…

cs.AI2026

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles

Arun Vignesh Malarkkan, Manan Roy Choudhury, Guangwei Zhang +4

Large language models (LLMs) are increasingly applied to financial analysis, yet their ability to audit structured financial statements under explicit accounting principles remains…

cs.IR2025

REaR: Retrieve, Expand and Refine for Effective Multitable Retrieval

Rishita Agarwal, Himanshu Singhal, Peter Baile Chen +3

Answering natural language queries over relational data often requires retrieving and reasoning over multiple tables, yet most retrievers optimize only for query-table relevance an…

cs.AI2025

Better Call CLAUSE: A Discrepancy Benchmark for Auditing LLMs Legal Reasoning Capabilities

Manan Roy Choudhury, Adithya Chandramouli, Mannan Anand +1

The rapid integration of large language models (LLMs) into high-stakes legal work has exposed a critical gap: no benchmark exists to systematically stress-test their reliability ag…