Papers by Hima Patel

2 papers
STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs (2026.findings-acl)

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Challenge: Existing benchmarks often treat complex tasks as monolithic, resulting in inconsistent performance and inconsistent explanations.
Approach: They propose a framework for creating controlled variations of benchmark tasks based on the concept of scaffolding, which introduces structured, incremental support in a step-by-step manner.
Outcome: The proposed framework enables systematic probing of model behavior by identifying the specific reasoning skill compositions they lack.
Think Like You Execute: Verifiable Chain of Thought from Program Traces (2026.acl-industry)

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Challenge: Current synthetic Chain-of-Thought (CoT) training data often consists of plausible-sounding explanations generated by teacher models, not verifiable accounts of actual program behavior.
Approach: They propose to ground CoT generation directly in program execution traces to improve reasoning capabilities.
Outcome: The proposed pipeline improves performance on live code benchmarks and on cruxEval-output and cruxeval-input.

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