20 citations · 24 across the 5 of their papers we have counts for
5 papers
The Art of Being Difficult: Combining Human and AI Strengths to Find Adversarial Instances for Heuristics
Henri Nikoleit, Ankit Anand, Anurag Murty Naredla +1
We demonstrate the power of human-LLM collaboration in tackling open problems in theoretical computer science. Focusing on combinatorial optimization, we refine outputs from the Fu…
Evaluating Gemini in an arena for learning
LearnLM Team, Abhinit Modi, Aditya Srikanth Veerubhotla +34
Artificial intelligence (AI) is poised to transform education, but the research community lacks a robust, general benchmark to evaluate AI models for learning. To assess state-of-t…
GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code
Samidha Verma, Arushi Goyal, Ananya Mathur +2
Graph Edit Distance (GED) is a widely used metric for measuring similarity between two graphs. Computing the optimal GED is NP-hard, leading to the development of various neural an…
LearnLM: Improving Gemini for Learning
LearnLM Team, Abhinit Modi, Aditya Srikanth Veerubhotla +43
Today's generative AI systems are tuned to present information by default, rather than engage users in service of learning as a human tutor would. To address the wide range of pote…
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee +71
A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about…