2 citations · 3 across the 3 of their papers we have counts for
4 papers
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
Tz-Huan Hsu, Jheng-Hong Yang, Jimmy Lin
Does a lexical retriever suffice as large language models (LLMs) become more capable in an agentic loop? This question naturally arises when building deep research systems. We revi…
Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation
Jheng-Hong Yang, Jimmy Lin
Vision--Language Models (VLMs) have demonstrated success across diverse applications, yet their potential to assist in relevance judgments remains uncertain. This paper assesses th…
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard
Ehsan Kamalloo, Nandan Thakur, Carlos Lassance +3
BEIR is a benchmark dataset for zero-shot evaluation of information retrieval models across 18 different domain/task combinations. In recent years, we have witnessed the growing po…
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang +2
A vital step towards the widespread adoption of neural retrieval models is their resource efficiency throughout the training, indexing and query workflows. The neural IR community…