6 citations · 7 across the 3 of their papers we have counts for
5 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…
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…
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…
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading
Sasi Kiran Gaddipati, Deebul Nair, Paul G. Plöger
Automatic Short Answer Grading (ASAG) is the process of grading the student answers by computational approaches given a question and the desired answer. Previous works implemented…