62 citations · 76 across the 3 of their papers we have counts for
3 papers
Beyond Utility: Evaluating LLM as Recommender
Chumeng Jiang, Jiayin Wang, Weizhi Ma +4
With the rapid development of Large Language Models (LLMs), recent studies employed LLMs as recommenders to provide personalized information services for distinct users. Despite ef…
Retrieving Supporting Evidence for Generative Question Answering
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
Current large language models (LLMs) can exhibit near-human levels of performance on many natural language-based tasks, including open-domain question answering. Unfortunately, at…
Match-Tensor: a Deep Relevance Model for Search
Aaron Jaech, Hetunandan Kamisetty, Eric Ringger +1
The application of Deep Neural Networks for ranking in search engines may obviate the need for the extensive feature engineering common to current learning-to-rank methods. However…