Zahra Abbasiantaeb (@z_abbasiantaeb) 's Twitter Profile
Zahra Abbasiantaeb

@z_abbasiantaeb

PhD candidate at @uva_amsterdam, Conversational Search and Information Retrieval

ID: 1508771558482919425

calendar_today29-03-2022 11:42:50

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The IRLab at the University of Amsterdam (@irlab_amsterdam) 's Twitter Profile Photo

(1/2) 📢 SEA in September! Only 3 days left to this special edition of SEA with great line of speakers from industry and academia. 🖋️Sign up here: meetup.com/sea-search-eng…

The IRLab at the University of Amsterdam (@irlab_amsterdam) 's Twitter Profile Photo

📢SEA in October - Efficiency in neural IR 🗓️ Oct 27th, 17:00 CET, in-person at Lab42 or online✍️ Sing up now! Speakers: -Carlos Lassance (Naverlabs) Carlos Lassance -Jurek Leonhardt (TU Delft) Jurek Leonhardt More info, and registration link: meetup.com/sea-search-eng… The IRLab at the University of Amsterdam

Zahra Abbasiantaeb (@z_abbasiantaeb) 's Twitter Profile Photo

🎉I'm excited to share that our paper titled "Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions" together with Mohammad Aliannejadi, @YifeiYuan6, and @ekanou has been accepted to #WSDM2024.🎉

Clara Rus (@rusamata) 's Twitter Profile Photo

Maarten de Rijke Maarten de Rijke is giving a keynote on transparency and explainability, following his recognition as the recipient of the Keith van Rijsbergen Award! ECIR2024 The IRLab at the University of Amsterdam #ECIR2024

Maarten de Rijke <a href="/mdr/">Maarten de Rijke</a> is giving a keynote on transparency and explainability, following his recognition as the recipient of the Keith van Rijsbergen Award!

<a href="/ecir2024/">ECIR2024</a>
<a href="/irlab_amsterdam/">The IRLab at the University of Amsterdam</a>
#ECIR2024
Zahra Abbasiantaeb (@z_abbasiantaeb) 's Twitter Profile Photo

🎉 I’m happy to announce that our resource paper “iKAT: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants.” got accepted at #SIGIR2024! This is a joint work with Mohammad Aliannejadi, Shubham Chatterjee | শুভম চ্যাটার্জী | 🇮🇳, Leif Azzopardi, and Jeff Dalton.

Zahra Abbasiantaeb (@z_abbasiantaeb) 's Twitter Profile Photo

🚀 Can we rely on LLMs’ internal knowledge to answer complex questions? 🚀 In our recent work with Mohammad Aliannejadi, we propose a method for generating multiple queries to cover different aspects of the user’s information needs.  The paper is available: arxiv.org/abs/2403.19302

🚀 Can we rely on LLMs’ internal knowledge to answer complex questions? 🚀

In our recent work with <a href="/maliannejadi/">Mohammad Aliannejadi</a>, we propose a method for generating multiple queries to cover different aspects of the user’s information needs. 

The paper is available: 
arxiv.org/abs/2403.19302
The IRLab at the University of Amsterdam (@irlab_amsterdam) 's Twitter Profile Photo

Search Engines Amsterdam 🌊 is back! Next Friday, we host two great talks by Arthur Câmara and Arian Askari on using LLMs for data augmentation in IR. Register now and join us next week: meetup.com/de-DE/sea-sear…

The IRLab at the University of Amsterdam (@irlab_amsterdam) 's Twitter Profile Photo

SEA 🌊 is back! Join us on Friday, May 17th, when Olivier Jeunen takes a critical look at evaluating recommender systems using nDCG! Sign up here 👉: meetup.com/de-DE/sea-sear…

Mohammad Aliannejadi (@maliannejadi) 's Twitter Profile Photo

In our recent paper, we ask ourselves, "Can We Use Large Language Models to Fill Relevance Judgment Holes?" We simulate a more realistic leave-one-model-out scenario, filling the holes of a new IR model with varying no. of judgment holes. But can we? 📰 arxiv.org/abs/2405.05600

In our recent paper, we ask ourselves, "Can We Use Large Language Models to Fill Relevance Judgment Holes?"

We simulate a more realistic leave-one-model-out scenario, filling the holes of a new IR model with varying no. of judgment holes. But can we?

📰 arxiv.org/abs/2405.05600
Mohammad Aliannejadi (@maliannejadi) 's Twitter Profile Photo

Exciting news. TREC iKAT (TREC Interactive Knowledge Assistance Track) is back! The guidelines are available on our website: trecikat.com In Y2: 1. the collection remains the same; 2. the main task remains the same; 3. we have a new subtask: response-generation-only. Stay tuned for more info!

Mohammad Aliannejadi (@maliannejadi) 's Twitter Profile Photo

📣📣 Check out ESSIR 2024's program! We start with Transformers, Foundation Models, and Finetuning, followed by Generative IR, LLMs, (Neural) RecSys, LTR, Evaluation, Explainability, and Fairness. ESSIR features FIDA and a week-long hackathon! 👩🏻‍💻 2024.essir.eu/attending/scho…

📣📣 Check out ESSIR 2024's program! 

We start with Transformers, Foundation Models, and Finetuning, followed by Generative IR, LLMs, (Neural) RecSys, LTR, Evaluation, Explainability, and Fairness. 

ESSIR features FIDA and a week-long hackathon!

👩🏻‍💻 2024.essir.eu/attending/scho…
Mohammad Aliannejadi (@maliannejadi) 's Twitter Profile Photo

Listening to Zahra Abbasiantaeb presenting our work on filling assessment holes using LLMs at the EMTCIR workshop at #sigirap2024. Zahra is also one of the two evaluation experts of the workshop 🔥!

Listening to <a href="/z_abbasiantaeb/">Zahra Abbasiantaeb</a> presenting our work on filling assessment holes using LLMs at the EMTCIR workshop at #sigirap2024. Zahra is also one of the two evaluation experts of the workshop 🔥!
Zahra Abbasiantaeb (@z_abbasiantaeb) 's Twitter Profile Photo

🎉 Thrilled to announce that our paper, "Improving the Reusability of Conversational Search Test Collections", with Chuan Meng, Leif Azzopardi, and Mohammad Aliannejadi has been accepted at #ECIR2025! Huge thanks to my co-authors for making this possible!

Zahra Abbasiantaeb (@z_abbasiantaeb) 's Twitter Profile Photo

🚀 Excited to share our latest work: "Conversational Gold: Evaluating Personalized Conversational Search Systems using Gold Nuggets", together with Simon Lupart, Leif Azzopardi, Jeff Dalton, and Mohammad Aliannejadi now on arXiv! Check out the paper here: arxiv.org/pdf/2503.09902