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20232026
most citedDemocratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models

9 citations · 10 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025

Measuring Combinatorial Creativity in Large Language Models and Humans

Samuel Schapiro, Sumuk Shashidhar, Akshay K. Jagadish +11

Combinatorial creativity, the process of combining familiar ideas in unfamiliar ways, is one of the foremost engines of scientific, technological, and artistic progress. This work…

cs.CL2025

Question Generation for Assessing Early Literacy Reading Comprehension

Xiaocheng Yang, Sumuk Shashidhar, Dilek Hakkani-Tur

Assessment of reading comprehension through content-based interactions plays an important role in the reading acquisition process. In this paper, we propose a novel approach for ge…

cs.AI2025

Spark: A System for Scientifically Creative Idea Generation

Aishik Sanyal, Samuel Schapiro, Sumuk Shashidhar +3

Recently, large language models (LLMs) have shown promising abilities to generate novel research ideas in science, a direction which coincides with many foundational principles in…

cs.CL2025

AURA: A Diagnostic Framework for Tracking User Satisfaction of Interactive Planning Agents

Takyoung Kim, Janvijay Singh, Shuhaib Mehri +6

The growing capabilities of large language models (LLMs) in instruction-following and context-understanding lead to the era of agents with numerous applications. Among these, task…

cs.CL2025

YourBench: Easy Custom Evaluation Sets for Everyone

Sumuk Shashidhar, Clémentine Fourrier, Alina Lozovskia +3

Evaluating large language models (LLMs) effectively remains a critical bottleneck, as traditional static benchmarks suffer from saturation and contamination, while human evaluation…