Daniel Richard Bramblett — accepted AI-conference papers

2025

Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks

Rushang Karia, Daniel Richard Bramblett, Daksh Dobhal, Siddharth Srivastava

ICLR 2025poster

This paper presents AutoEval, a novel benchmark for scaling Large Language Model (LLM) assessment in formal tasks with clear notions of correctness, such as truth maintenance in translation and logical reasoning. AutoEval is the first benchmarking paradigm that offers several key advantages necessar…

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2024

Belief-State Query Policies for User-Aligned POMDPs

Daniel Richard Bramblett, Siddharth Srivastava

NeurIPS 2024poster

Planning in real-world settings often entails addressing partial observability while aligning with users' requirements. We present a novel framework for expressing users' constraints and preferences about agent behavior in a partially observable setting using parameterized belief-state query (BSQ) p…

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