Papers by Qianru Meng
KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models (2026.findings-acl)
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| Challenge: | Existing LLMs lack systematic coverage of a bounded knowledge universe and compositional set-based reasoning over that universe. |
| Approach: | They propose a benchmark for multiple-choice questions based on 1,183 enumeration seeds . they use knowledge width, cardinality of required universe, reasoning depth to formalize the challenge . |
| Outcome: | The proposed benchmarks achieve only 5.26–36.88 F1 on universe enumeration and 16.00–44.19 accuracy on knowledge-grounded reasoning. |