activity
20232026
most citedAstroLLaMA: Towards Specialized Foundation Models in Astronomy

5 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2026

Contextualized Dynamic Explanations: A Vision

Zhicheng Liu, Jason H Li, Greg Briskin

Asynchronous data-driven explanations often fail because the content and presentation are not tailored to the target audience, and they provide limited opportunities for active aud…

cs.DS2025

Faster Negative-Weight Shortest Paths and Directed Low-Diameter Decompositions

Jason Li, Connor Mowry, Satish Rao

We present a faster algorithm for low-diameter decompositions on directed graphs, matching the loss factor from Bringmann, Fischer, Haeupler, and Latypov (ICA…

cs.CL2025

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?

Jason Li, Lauren Yraola, Kevin Zhu +1

Prompting methods for language models, such as Chain-of-thought (CoT), present intuitive step-by-step processes for problem solving. These methodologies aim to equip models with a…

cs.DS2025

Simpler and Faster Directed Low-Diameter Decompositions

Jason Li

We present a simpler and faster algorithm for low-diameter decompositions on directed graphs, matching the loss factor from Bringmann, Fischer, Haeupler, and…

cs.DS2024

A Bottom-Up Algorithm for Negative-Weight SSSP with Integrated Negative Cycle Finding

Jason Li, Connor Mowry

We present a simplified algorithm for solving the Negative-Weight Single-Source Shortest Paths (SSSP) problem, focusing on enhancing clarity and practicality over prior methods. Ou…

cs.LG2024

Mechanistic Interpretability of Binary and Ternary Transformers

Jason Li

Recent research (arXiv:2310.11453, arXiv:2402.17764) has proposed binary and ternary transformer networks as a way to significantly reduce memory and improve inference speed in Lar…

cs.LG2024★ 1 cited

zkLLM: Zero Knowledge Proofs for Large Language Models

Haochen Sun, Jason Li, Hongyang Zhang

The recent surge in artificial intelligence (AI), characterized by the prominence of large language models (LLMs), has ushered in fundamental transformations across the globe. Howe…

astro-ph.IM2023★ 5 cited

AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciucă +21

Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy. To bridge this gap, we introduce AstroLLaMA, a 7-b…