4 papers
neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings
Arnav Ramamoorthy, Shrey Dhorajiya, Ojas Pungalia +6
Envy shapes competitiveness and cooperation in human groups, yet its role in large language model interactions remains largely unexplored. As LLMs increasingly operate in multi-age…
TabPFN Through The Looking Glass: An interpretability study of TabPFN and its internal representations
Aviral Gupta, Armaan Sethi, Dhruv Kumar
Tabular foundational models are pre-trained models designed for a wide range of tabular data tasks. They have shown strong performance across domains, yet their internal representa…
Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines
Devesh Saraogi, Rohit Singhee, Dhruv Kumar
The integration of Large Language Models (LLMs) into the scientific ecosystem raises fundamental questions about the creativity and originality of AI-generated research. Recent wor…
Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies
Charan Prakash Rathore, Saumi Ray, Dhruv Kumar
Extracting structured information from zeolite synthesis experimental procedures is critical for materials discovery, yet existing methods have not systematically evaluated Large L…