Papers by Ting Long
Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem (2026.findings-acl)
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| Challenge: | Existing RAG systems rely on ranking-centric, asymmetric dependency paradigms to generate results. |
| Approach: | They propose a framework that treats the reranker and the generator as peer decision-makers rather than being connected through an asymmetric dependency pipeline. |
| Outcome: | The proposed framework treats the reranker and the generator as peer decision-makers rather than being connected through an asymmetric dependency pipeline. |
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. |