26 citations · 56 across the 13 of their papers we have counts for
14 papers
Cost-Aware Best-LLM Identification using Dueling Feedback
Sarvesh Gharat, Nikhil Karamchandani, Jayakrishnan Nair
Inspired by the problem of identifying the best model from a collection of large language models (LLMs) with heterogeneous querying costs, we formulate and analyse a variant of the…
What Makes a Terminal-Bench Task Hard? Separating Genuine Hardness from Fake-Hardness on an Adjudicated Agentic Corpus
Edward Lue Chee Lip, Boden Moraski, Tim Knappe +4
Frontier benchmarks need tasks that current models cannot solve. But a task that no model solves is not automatically a hard task. The same zero pass rate can come from a real capa…
SGHA: Evidence-Grounded Research Problem Discovery with Local Language Models
Sarvesh Gharat, Junpei Komiyama
Recent efforts toward fully automated AI scientists have demonstrated that language-model agents can generate hypotheses, execute experiments, and draft scientific manuscripts. How…
ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling
Vaibhav Singh, Soumya Suvra Ghosal, Sarvesh Gharat +3
Large Reasoning Models (LRMs) improve performance by allocating additional inference-time compute to generate extended chain-of-thought reasoning. However, recent studies reveal th…
Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours
Arpan Dasgupta, Sarvesh Gharat, Neha Madhiwalla +3
Automated voice calls with health information are a proven method for disseminating maternal and child health information among beneficiaries and are deployed in several programs a…
Representative Arm Identification: A fixed confidence approach to identify cluster representatives
Sarvesh Gharat, Aniket Yadav, Nikhil Karamchandani +1
We study the representative arm identification (RAI) problem in the multi-armed bandits (MAB) framework, wherein we have a collection of arms, each associated with an unknown rewar…
Gamma Ray AGNs: Estimating Redshifts and Blazar Classification using traditional Neural Networks with smart initialization and self-supervised learning
Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta
Redshift estimation and the classification of gamma-ray AGNs represent crucial challenges in the field of gamma-ray astronomy. Recent efforts have been made to tackle these problem…
VaTEST III: Validation of 8 Potential Super-Earths from TESS Data
Priyashkumar Mistry, Aniket Prasad, Mousam Maity +29
NASA's all-sky survey mission, the Transiting Exoplanet Survey Satellite (TESS), is specifically engineered to detect exoplanets that transit bright stars. Thus far, TESS has succe…
Gamma-ray Blazar Classification using Machine Learning with Advanced Weight Initialization and Self-Supervised Learning Techniques
Gopal Bhatta, Sarvesh Gharat, Abhimanyu Borthakur +1
Machine learning has emerged as a powerful tool in the field of gamma-ray astrophysics. The algorithms can distinguish between different source types, such as blazars and pulsars,…
Estimation of redshift and associated uncertainty of Fermi/LAT extra-galactic sources with Deep Learning
Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta
With the advancement of technology, machine learning-based analytical methods have pervaded nearly every discipline in modern studies. Particularly, a number of methods have been e…
VaTEST II: Statistical Validation of 11 TESS-Detected Exoplanets Orbiting K-type Stars
Priyashkumar Mistry, Kamlesh Pathak, Aniket Prasad +48
NASA's Transiting Exoplanet Survey Satellite (TESS) is an all-sky survey mission designed to find transiting exoplanets orbiting nearby bright stars. It has identified more than 32…
Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images
Sarvesh Gharat, Yogesh Dandawate
In recent decades, large-scale sky surveys such as Sloan Digital Sky Survey (SDSS) have resulted in generation of tremendous amount of data. The classification of this enormous amo…
Exploring Short-Term Optical Variability of Blazars Using
Vivek Reddy Pininti, Gopal Bhatta, Sagarika Paul +4
We present a first systematic time series study of a sample of blazars observed by the Transiting Exoplanet Survey Satellite spacecraft. By cross matching the posit…
An Image Processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal Solar Observatory
Sarvesh Gharat, Bhaskar Bose, Abhimanyu Borthakur +1
Solar plages, which are bright regions on the Sun's surface, are an important indicator of solar activity. In this study, we propose an automated algorithm for identifying solar pl…