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Thong Nguyen

SIGIR 2026×2ICLR 2026检索与知识可解释性多语言与语言学效率与系统推理
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一作贡献70
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2 一作 · 3 篇 · SIGIR 2026 / ICLR 2026

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2026 顶会论文

3
一作ICLR 2026Poster· General Machine Learning / Representation Learning

MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector

Thong Nguyen · Yibin Lei · Dylan JH Ju · Eugene Yang · Andrew Yates

可解释性检索与知识多语言与语言学OpenReview
一作SIGIR 2026Poster· Information Retrieval (Short)

Sparton: Fast and Memory-Efficient Triton Kernel for Learned Sparse Retrieval

Thong Nguyen · Cosimo Rulli · Franco Maria Nardini · Rossano Venturini · Andrew Yates

摘要

State-of-the-art Learned Sparse Retrieval (LSR) models, such as \splade, typically employ a Language Modeling (LM) head to project latent hidden states into a lexically-anchored logit matrix. This intermediate matrix is subsequently transformed into a sparse lexical representation through element...

效率与系统检索与知识推理OpenReview
作者位次 #3/7SIGIR 2026Poster· Information Retrieval (Short)

Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations

Jingfen Qiao · Gabrielle Poerwawinata · Thong Nguyen · Jia-Huei Ju · Eugene Yang · Evangelos Kanoulas · Andrew Yates

摘要

Advancements in retrieval models necessitate re-indexing, a computationally expensive process for large-scale production environments. While updating only the query encoder and continuing to use the old index could be a promising middle ground, dense retrieval systems suffer severe performance dr...

可解释性检索与知识代码OpenReview

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