3 citations · 3 across the 2 of their papers we have counts for
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cs.CL2025
Maximally-Informative Retrieval for State Space Model Generation
Evan Becker, Benjamin Bowman, Matthew Trager +4
Given a query and dataset, the optimal way of answering the query is to make use all the information available. Modern LLMs exhibit impressive ability to memorize training data, bu…
cs.CL2024★ 3 cited
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Evan Becker, Stefano Soatto
In many high-risk machine learning applications it is essential for a model to indicate when it is uncertain about a prediction. While large language models (LLMs) can reach and ev…