Papers by Chentao Li
DDGIP: Radiology Report Generation Through Disease Description Graph and Informed Prompting (2025.findings-naacl)
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| Challenge: | Automatic radiology report generation is challenging due to inherent biases in medical imaging data. |
| Approach: | They propose a disease description graph that encapsulates comprehensive and pertinent disease information. |
| Outcome: | The proposed model outperforms state-of-the-art models on two widely-used datasets . the proposed model is based on a three-layer decoder and improves on existing models . |
Do MLLMs Understand Pointing? Benchmarking and Enhancing Referential Reasoning in Egocentric Vision (2026.findings-acl)
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| Challenge: | Egocentric AI agents rely on pointing to resolve referential ambiguities in natural language commands. |
| Approach: | They propose a question-answering benchmark to evaluate and enhance pointing reasoning in egocentric views. |
| Outcome: | The proposed benchmark evaluates and enhances pointing reasoning in egocentric views. |
Beyond the Answer: Advancing Multi-Hop QA with Fine-Grained Graph Reasoning and Evaluation (2025.acl-long)
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| Challenge: | Existing evaluations of multi-hop question answering systems focus on comparing final answers of reasoning method and given ground-truths. |
| Approach: | They propose a "Planner-Executor-Reasoner" architecture that evaluates reasoning . they propose PER-DP and PER QA architectures that provide ground-truths . |
| Outcome: | The proposed model improves the performance of multi-hop question answering systems. |