Papers by Krista A. Ehinger

2 papers
Planning-Driven Programming: A Large Language Model Programming Workflow (2025.acl-long)

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Challenge: Recent research suggests continuous program refinements through visible tests to improve code generation accuracy in large language models (LLMs).
Approach: They propose an LLM programming workflow to improve both initial code generation and subsequent refinements within a structured two-phase workflow.
Outcome: The proposed workflow improves both initial code generation and subsequent refinements within a structured two-phase workflow.
Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task (2025.findings-acl)

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Challenge: Existing AVR benchmarks focus on single-step reasoning, emphasizing the end result but neglecting the multi-stage nature of reasoning process.
Approach: They propose a multi-stage AVR benchmark based on RAVEN to assess reasoning across varying levels of complexity.
Outcome: The proposed metric considers the correctness of intermediate steps in addition to the final outcomes.

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