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Sung-Min Lee

2 accepted papers

2024

RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion

COLING 2024main

Large language models (LLMs) have demonstrated superior performance to that of small language models (SLM) in information retrieval for various subtasks including dense retrieval, reranking, query expansion, and pseudo-document generation. However, the parameter sizes of LLMs are extremely large, ma…

2023

RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering

AAAI 2023technical

Most approaches used in open-domain question answering on hybrid data that comprises both tabular-and-textual contents are based on a Retrieval-Reader pipeline in which the retrieval module finds relevant 
“heterogenous” evidence for a given question and the reader module generates an answer from th…

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