
Weronika Łajewska
@weronika_laj
Ph.D student @UniStavanger @iai_group
ID: 1716929177411309568
https://werlaj.github.io/ 24-10-2023 21:27:04
21 Tweet
117 Followers
151 Following

"Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search" w/ Ivan Sekulić, Weronika Łajewska & Fabio Crestani accepted as short paper at #ecir2024

"Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-seeking Conversations" w/ Weronika Łajewska accepted as short paper at #ecir2024

Thrilled to be at #ecir2024 in Glasgow, surrounded by amazing people in a beautiful historical venue! And to top it off, just received notification of acceptance of our full paper with Damiano Spina 🦋@damianospina.com, Johanne, and Krisztian Balog at #SIGIRConf - what a fantastic evening! 🎉



Proud to share great news! Huge thanks to #ECIR2024 community for appreciating our work done with Krisztian Balog on unanswerability in conversational search

Today, Weronika Łajewska Weronika Łajewska from the University of Stavanger will give an #IRTalk talk entitled "Grounded and Transparent Response Generation for Conversational Information-Seeking Systems".


Pre-print of our #SIGIR2024 paper titled "Explainability for Transparent Conversational Information-Seeking" led by PhD student Weronika Łajewska (Universitetet i Stavanger @iai_group) w/ Johanne Krisztian Balog is now available: damianospina.com/publication/la… @AdmsCentre @RTMIComputing SIGIR 2025

💬 Conversational generated responses may contain incorrect information, inaccurate attributed sources, etc. Can explaining these limitations give more agency to users? ⚠️ Don’t miss Weronika Łajewska’s talk today at the “Explainibility (T1.1)” session! 📍Senate 🕥10.30 #sigir2024

Great presentation by Weronika Łajewska of the paper Explainability for Transparent Conversational Information-Seeking w/ Weronika Łajewska Damiano Spina 🦋@damianospina.com Johanne and Krisztian Balog 👏👏 #sigir2024 #sigir24 RMIT School of Computing Technologies @AdmsCentre



“Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?” w/ Weronika Łajewska, Krisztian Balog & Johanne accepted at #sigirap2024

I had a great opportunity to present our recent work done with Krisztian Balog on generating grounded responses for conversational information-seeking queries at NorwAI Innovate 2024. Thank you for great questions and enlightening discussions!


I've just wrapped up my internship at Amazon. Huge thanks to the amazing AWS Bedrock Guardrails team—especially Momchil Hardalov, Laura Aina, and Lluis Marquez—for the fantastic collaboration. Stay tuned for the results of our work on prompt compression for long-context scenarios!

"GINGER: Grounded Information Nugget-Based Generation of Responses" with Weronika Łajewska has been accepted at #sigir2025 as a short paper. Ours was the top performing AG run at TREC RAG'24 under the AutoNuggets/AutoAssign condition. Preprint: arxiv.org/abs/2503.18174