Sameer Narendran

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding

Guesstimation—the task of making approximate quantitative estimates about objects or events—is a common real-world skill, yet remains underexplored in large language model (LLM) research. We introduce three guesstimation datasets: MARBLES, FUTURE, and ELECPRED, spanning physical estimation (e.g., ho