Papers by Kangrui Yu
SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs (2026.acl-long)
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| Challenge: | Existing educational LLMs are vulnerable to pedagogical jailbreaks where students use answer-inducing prompts to elicit solutions rather than scaffolded instructions. |
| Approach: | They propose a graph-augmented tutoring pipeline that infers prerequisite concepts from queries and identifies mastery gaps. |
| Outcome: | The proposed method improves safety under two pedagogical jailbreak scenarios while maintaining near-ceiling helpfulness under the same evaluation protocol. |
Explicit Planning Helps Language Models in Logical Reasoning (2023.emnlp-main)
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| Challenge: | Existing systems that use pre-trained large language models to perform multi-step logical reasoning have been unable to perform this task. |
| Approach: | They propose a system that uses language models to perform multi-step logical reasoning and incorporates explicit planning into the inference procedure. |
| Outcome: | The proposed system outperforms other competing methods on multiple datasets and significantly outperformed chain-of-thought prompting on the PrOntoQA dataset. |