1 citations · 1 across the 2 of their papers we have counts for
6 papers
MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility
Sasi Kiran Gaddipati, Diyana Muhammed, Farhana Keya +2
Autonomous research systems capable of generating complete scientific manuscripts have advanced rapidly, yet robust and realistic evaluation frameworks have failed to keep pace. To…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
Sasi Kiran Gaddipati, Farhana Keya, Gollam Rabby +1
High-quality scientific review and perspective papers require substantial time and effort, limiting researchers' ability to synthesize emerging knowledge. While Large Language Mode…
Towards AI-Supported Research: a Vision of the TIB AIssistant
Sören Auer, Allard Oelen, Mohamad Yaser Jaradeh +9
The rapid advancements in Generative AI and Large Language Models promise to transform the way research is conducted, potentially offering unprecedented opportunities to augment sc…
MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree
Gollam Rabby, Farhana Keya, Sören Auer
Mathematical reasoning presents significant challenges for large language models (LLMs). To enhance their capabilities, we propose Monte Carlo Self-Refine Tree (MC-NEST), an extens…
SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings
Farhana Keya, Gollam Rabby, Prasenjit Mitra +3
Every scientific discovery starts with an idea inspired by prior work, interdisciplinary concepts, and emerging challenges. Recent advancements in large language models (LLMs) trai…