8 papers
Bringing Agentic Search to Earth Observation Data Discovery
Minghan Yu, Youran Sun, Chugang Yi +2
NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right one is hard even fo…
ReSearch: A Multi-Stage Machine Learning Framework for Earth Science Data Discovery
Youran Sun, Yixin Wen, Haizhao Yang
The rapid expansion of Earth Science data from satellite observations, reanalysis products, and numerical simulations has created a critical bottleneck in scientific discovery, nam…
AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing
Jianda Du, Youran Sun, Haizhao Yang
PDEs are central to scientific and engineering modeling, yet designing accurate numerical solvers typically requires substantial mathematical expertise and manual tuning. Recent ne…
DRIFT: Detecting Representational Inconsistencies for Factual Truthfulness
Rohan Bhatnagar, Youran Sun, Chi Andrew Zhang +2
LLMs often produce fluent but incorrect answers, yet detecting such hallucinations typically requires multiple sampling passes or post-hoc verification, adding significant latency…
OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents
Raghav Thind, Youran Sun, Ling Liang +1
Optimization plays a vital role in scientific research and practical applications. However, formulating a concrete optimization problem described in natural language into a mathema…
LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard
Varun Rao, Youran Sun, Mahendra Kumar +3
This paper investigates the application of large language models (LLMs) to financial tasks. We fine-tuned foundation models using the Open FinLLM Leaderboard as a benchmark. Buildi…