Papers by Chenlong Bao
R2A-TLS: Reflective Retrieval-Augmented Timeline Summarization with Causal-Semantic Integration (2025.findings-emnlp)
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| Challenge: | Existing methods struggle to capture coherent event narratives due to fragmented descriptions . Existing approaches accumulate noise through iterative retrieval strategies that lack relevance evaluation. |
| Approach: | They propose a reflective retrieval-augmented timeline summarization with Causal-Semantic Intergration approach for open-domain timeline summarizing . |
| Outcome: | The proposed approach outperforms the best prior published approaches. |
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines (2024.lrec-main)
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| Challenge: | Existing citation recommendation systems aim to recommend a list of scientific papers for a given text context or a draft paper. |
| Approach: | They propose a task of Recommending Missed Citations Identified by Reviewers to help improve citations of full papers. |
| Outcome: | The proposed framework outperforms existing methods in all metrics and will motivate future research on this challenging task. |