Papers by Guanghao Wu
KnowDR-REC: Auditing Knowledge-Conditioned Visual Grounding in Referring Expression Comprehension (2026.findings-acl)
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| Challenge: | Existing evaluation metrics suggest that Multimodal large language models have acquired fine-grained visual grounding capabilities. |
| Approach: | They propose a benchmark to assess Referring Expression Comprehension (REC) that uses intra-image visual cues to localize target objects and a controllable evaluation mechanism to test sensitivity to fine-grained factual changes. |
| Outcome: | The proposed benchmarks show that multimodal large language models have a high level of performance on the RefCOCO family of benchmarks. |
Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context (2026.findings-acl)
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| Challenge: | Existing safety alignment benchmarks fail to evaluate Safe Completion: the model’s ability to maximise helpfulness on dual-use or borderline queries without crossing into actionable harm. |
| Approach: | They propose a large-scale benchmark to measure Over-Refusal and Safe Completion quality in healthcare. |
| Outcome: | The framework evaluates 30 state-of-the-art LLMs including GPT-5 and Claude-4. |