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Johannes Kiesel

SIGIR 2026×3检索与知识代码社会与人本评测与基准对齐与偏好
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0 一作 · 3 篇 · SIGIR 2026

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2026 顶会论文

3
作者位次 #3/5SIGIR 2026Oral· Information Retrieval (Full)

Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Conversational Search Evaluation

Nailia Mirzakhmedova · Marcel Gohsen · Johannes Kiesel · Matthias Hagen · Benno Stein

摘要

Conversational search systems are typically evaluated using a fixed reference collection of conversations or through user studies with a live system. However, fixed-reference conversations can cover only a few plausible conversations, and user studies are costly, time-consuming, and often hard to...

检索与知识代码社会与人本OpenReview
作者位次 #4/8SIGIR 2026Poster· Information Retrieval (Resource)

Sim.API: A Middleware to Simplify the Use of User Simulators for Shared Tasks in Conversational Search

Marcel Gohsen · Nailia Mirzakhmedova · Zahra Abbasiantaeb · Johannes Kiesel · Simon Lupart · Jeffrey Dalton · Benno Stein · Mohammad Aliannejadi

摘要

Shared tasks offer excellent opportunities for advancing scientific fields and standardizing evaluation methods through collaborative community efforts. With the recent paradigm shift in information retrieval from keyword-based to conversational search, shared tasks can serve as promising sources...

检索与知识代码评测与基准OpenReview
作者位次 #5/7SIGIR 2026Poster· Information Retrieval (Resource)

TREC iKAT 2025: A Test Collection for the Offline and Interactive Evaluation of Conversational Search

Zahra Abbasiantaeb · Simon Lupart · Marcel Gohsen · Nailia Mirzakhmedova · Johannes Kiesel · Jeffrey Dalton · Mohammad Aliannejadi

摘要

Conversational search agents, especially with the advent of large language models, have developed into useful tools to satisfy complex information needs of their users. Former research has shown that personalization (i.e., adaptation of agent responses to the preferences and traits of the user) c...

检索与知识对齐与偏好代码OpenReview

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