Oct 14, 2024 · This paper introduces the LLM-KnowSimFuser proposed by Robo Space, which wins the 2nd place in the competition.

This performance is indicative of the successful integration of LLM-enhanced representation similarity fusion, enabling more accurate and consistent academic ...

Oct 17, 2024 · The KDD Cup 2024 AQA Challenge is geared towards advancing retrieval models to identify pertinent academic terminologies from suitable papers ...

arXiv:2410.10455v1 [cs.IR] 14 Oct 2024. Advancing Academic Knowledge Retrieval via LLM-enhanced. Representation Similarity Fusion: The 2nd Place of KDD Cup

This performance is indicative of the successful integration of LLM-enhanced representation similarity fusion, enabling more accurate and consistent academic ...

In this paper, we seek to carefully prompt a Large Language Model (LLM) with domain-level knowledge as a better marketing-oriented knowledge miner for marketing ...

15:20-15:30. Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion: The 2nd Place of KDD Cup 2024 OAG-Challenge AQA ...

Aug 25, 2024 · Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion: The 2nd Place of KDD Cup 2024 OAG-Challenge AQA · pdf ...

99.91. Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion. Wei Dai, Peng Fu, Chunjing Gan. Oct 14 2024. cs.IR, cs.CL, cs ...

Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion: The 2nd Place of KDD Cup 2024 OAG-Challenge AQA. W Dai, P Fu, C Gan.