Papers with reasoning engine

2 papers
A Language-First Approach for Procedure Planning (2023.findings-acl)

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Challenge: Developing intelligent agents requires the ability to produce plans on the fly based on visual observations.
Approach: They propose a language-first procedure planning framework with a modularized design . they first align current and goal observations with corresponding steps and then use a pre-trained LM to predict intermediate steps.
Outcome: The proposed framework matches state-of-the-art procedures on COIN and CrossTask benchmarks.
If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data (2026.findings-acl)

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Challenge: Current patient platforms only offer static summaries which do not support inquisitive user queries.
Approach: They propose a framework for question answering over personal glucose data that uses large language models to provide a reasoning engine that selects analytical functions.
Outcome: The proposed framework achieves 94% value accuracy on synthetic queries and 88% on ambiguous real-world queries.

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