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Dimitrios Androutsos

SIGIR 2026×2数据与预训练对齐与偏好效率与系统评测与基准检索与知识
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0 一作 · 2 篇 · SIGIR 2026

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2026 顶会论文

2
作者位次 #2/3SIGIR 2026Poster· Information Retrieval (Short)

LearnDCG: End-to-End Joint Optimization of Ranker and Loss in Neural Ranking

Mohammad Hossein Saliminabi · Dimitrios Androutsos · Ebrahim Bagheri

摘要

Neural rankers are typically trained with surrogate objectives because target evaluation metrics such as Normalized Discounted Cumulative Gain (NDCG) are non-differentiable. Existing approaches rely on hand-designed surrogate losses or fixed smooth relaxations, which can be misaligned with the ta...

数据与预训练对齐与偏好效率与系统OpenReview
作者位次 #4/6SIGIR 2026Poster· Information Retrieval (Short)

Failing Forward: Understanding Query Failure in Retrieval, Judgment, and Generation

Seyed Mohammad Hosseini · Negar Arabzadeh · Mohammad Hossein Saliminabi · Dimitrios Androutsos · Morteza Zihayat · Ebrahim Bagheri

摘要

Modern information retrieval pipelines combine retrieval, LLM-based generation, and LLM-based judgment, and a poor outcome may originate in any of the three stages. Existing work studies these failures in isolation. This paper instead asks whether query difficulty itself transfers across the thre...

评测与基准检索与知识多语言与语言学OpenReview

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