Papers by En Yu
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios (2025.acl-long)
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| Challenge: | RuleArena assesses the ability of large language models (LLMs) to follow complex, real-world rules in reasoning. |
| Approach: | They propose a benchmark to evaluate the ability of large language models (LLMs) to follow complex, real-world rules in reasoning. |
| Outcome: | The proposed benchmark covers airline baggage fees, NBA transactions, and tax regulations. |
STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation (2026.acl-long)
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| Challenge: | Existing reasoning path retrieval methods lack a global structural perspective. |
| Approach: | They propose a framework that reframes multi-hop reasoning as a schema-guided graph search task. |
| Outcome: | The proposed framework improves accuracy and evidence completeness of multi-hop reasoning graph retrieval. |