activity
20232026
most citedAcceleron: A Tool to Accelerate Research Ideation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain

Sourav Malakar, Harshit Nigam, Akash Ghosh +4

Time-series data in clinical settings is crucial for capturing dynamic changes in a patient's health over time, enabling timely diagnosis, personalized treatment, and early detecti…

cs.AI2026

An Empirical Investigation of Robustness in Large Language Models under Tabular Distortions

Avik Dutta, Harshit Nigam, Hosein Hasanbeig +2

We investigate how large language models (LLMs) fail when tabular data in an otherwise canonical representation is subjected to semantic and structural distortions. Our findings re…

cs.CL2025

ConDABench: Interactive Evaluation of Language Models for Data Analysis

Avik Dutta, Priyanshu Gupta, Hosein Hasanbeig +6

Real-world data analysis tasks often come with under-specified goals and unclean data. User interaction is necessary to understand and disambiguate a user's intent, and hence, esse…

cs.CL2024★ 1 cited

Acceleron: A Tool to Accelerate Research Ideation

Harshit Nigam, Manasi Patwardhan, Lovekesh Vig +1

Several tools have recently been proposed for assisting researchers during various stages of the research life-cycle. However, these primarily concentrate on tasks such as retrievi…

cs.CL2023

Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting

Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam +3

Cross-domain and cross-compositional generalization of Text-to-SQL semantic parsing is a challenging task. Existing Large Language Model (LLM) based solutions rely on inference-tim…