62 citations · 66 across the 5 of their papers we have counts for
4 papers · 1 filter
Optimal Re-Ranking Depth
Siqing Huo, Andrew Parry, Debasis Ganguly +1
Second-stage neural rankers are commonly applied with a fixed re-ranking depth, assuming that retrieval effectiveness saturates as depth increases. Prior research has questioned th…
A Sequential Decision Framework for Evaluating LLM-Guided Search
Siqing Huo, Andrew Parry, Debasis Ganguly +2
Recent systems applying retrieval-augmented generation (RAG) and "deep research" iteratively generate queries, retrieve documents, and examine their contents, using the resulting i…
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…
Retrieving Supporting Evidence for LLMs Generated Answers
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
Current large language models (LLMs) can exhibit near-human levels of performance on many natural language tasks, including open-domain question answering. Unfortunately, they also…