8 citations · 8 across the 7 of their papers we have counts for
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…
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…
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…
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Xinyu Guan, Li Lyna Zhang, Yifei Liu +5
We present rStar-Math to demonstrate that small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1, without distillation from superior mode…
Understand the Effectiveness of Shortcuts through the Lens of DCA
Youran Sun, Yihua Liu, Yi-Shuai Niu
Difference-of-Convex Algorithm (DCA) is a well-known nonconvex optimization algorithm for minimizing a nonconvex function that can be expressed as the difference of two convex ones…