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Hima Patel

ACL 2026×2推理代码强化学习与后训练可解释性评测与基准
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #7/7ACL 2026Poster· ACL Industry Track

Think Like You Execute: Verifiable Chain of Thought from Program Traces

Shailja Thakur · Vaibhav Saxena · Rohan Kulkarni · Shivdeep Singh · Parameswaran Selvam · Hiroshi Kanayama · Hima Patel

摘要

Teaching language models to reason about code execution is still an open problem. 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. This causes models to learn l...

推理代码强化学习与后训练OpenReview 项目页
作者位次 #5/5ACL 2026Findings· Findings of ACL

ST a D : Scaffolded Task Design for Identifying Compositional Skill Gaps in LLM s

Sungeun An · Swanand Ravindra Kadhe · Shailja Thakur · Chad DeLuca · Hima Patel

摘要

Benchmarks are often used as a standard to understand LLM capabilities in different domains. However, aggregate benchmark scores provide limited insight into compositional skill gaps of LLMs and how to improve them. To make these weaknesses visible, we propose Scaffolded Task Design (STaD) framew...

推理可解释性评测与基准OpenReview 项目页

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