3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents
Himanshu Thakur, Anusha Kamath, Anurag Muthyala +3
Recent advances in code generation models have unlocked unprecedented opportunities for automating feature engineering, yet their adoption in real-world ML teams remains constraine…
cs.AI2024★ 3 cited
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath +6
An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussio…