Presenting our work at #CIKM2023 .

Call for bids to host #essir2026

Deadline 8 March 2024.

More info at essir.eu/assets/charter…

CLEF ECIR 2023 ECIR2024 ACM CIKM 2023 ACM SIGIR SIGIR 2024 ACM CIKM ACM RecSys

Thrilled to announce that we will be giving a tutorial with Daniel Daza Michael Cochez and Mojtaba on 'Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings', at #cikm2023 .

Slides will be available on the tutorial website kg-beyond-triple.github.io. Stay tuned!

Carlo Abrate is gonna present our ACM CIKM 2023 paper 'Relevance-based Infilling for Natural Language Counterfactuals', /w Francesco Bonchi and AndreasKaltenbrunner.

Don't miss it if you are attending the conference!

Check the paper at dl.acm.org/doi/10.1145/35…

#CIKM2023

Can we design GNNs that are both scalable and more expressive than message-passing-based GNNs for link prediction on large-scale Knowledge Graphs (KGs)?

Our #CIKM2023 paper arxiv.org/pdf/2212.09724… takes a significant step in this direction. (1/6)

It's time to process the wonderful experience I had at #CIKM2023 , where I presented our paper ➡️ dl.acm.org/doi/10.1145/35….

Thanks to my co-authors. I am truly privileged to work with you.

Walter Anelli Franco Maria Nardini raffaele_perego

How to generate robust recourse explanations when data distribution shifts?

In #CIKM2023 , we present RoCoursenet, which leverages adversarial training to generate distributionally robust recourse explanations by simulating the worst-case data shift.

📰arxiv.org/abs/2206.00700

Excited to share that our full paper titled 'FARA: Future-aware Ranking Algorithm for Fairness
Optimization' has been accepted at #cikm2023 together w/ Zhichao Xu Brutus Zhenduo Wang Qingyao Ai. The preprint is here arxiv.org/abs/2305.16637 with code shared.

#CIKM2025 will happen in Seul, South Korea 😋.

#CIKM2023

Great presentation by Carlo Abrate ACM CIKM 2023 about Relevance-based Infilling for Natural Language Counterfactuals!
Francesco Bonchi Lorenzo CENTAI (Center for AI)

Today I'll present our #CIKM2023 paper entitled 'System Initiative Prediction for Multi-turn Conversational Information Seeking' at Session 8C (Dialogue Systems), which starts at 2:00 pm, Room Belmont 2. ACM CIKM 2023

Paper: dl.acm.org/doi/pdf/10.114…
Code: github.com/ChuanMeng/SIP

📢 We are organizing a workshop on #multimodal #understanding at ACM ACM CIKM 2023

5 days left to submit **15th September**

Exciting challenges in the area of LLMs, multimodality, perception and bias.
Look at our CFP: muws-workshop.github.io/cfp/

L3S Research Center @L3S_Research_Center@wisskomm TIB ▪ @[email protected]

Excited to share that our resource paper titled 'A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts' has been accepted at #CIKM2023 together with Mohammad Aliannejadi, Evangelos Kanoulas, and @Suzan! 🎉

Just presented 'Prompting strategies for Citation Classification', co-authored with Petr Knoth 🇺🇦 and David Pride ACM CIKM 2023. Great audience and some interesting questions at the end of the talk! #CIKM2023 CORE

Paper available at - dl.acm.org/doi/10.1145/35…

#cikm2023 Steffen Staab: LLMs as knowledge bases? Not for 'point' facts

Great experience attending #CIKM2023 and sharing our research on #bias and fairness in scene graph generation & #visualreasoning at MUWS workshop. #ai #research Ed Curry (he/him) John Breslin Data Science Institute @ University of Galway SFI CRT in Artificial Intelligence Insight SFI Research Centre @galway_research Science Foundation Ireland

This week at #CIKM , I'll be delivering two oral presentations.

Works done w/ Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne 🤹‍♀️.

Looking forward to some insightful discussions at the conference! 🌟 ACM CIKM 2023 @projectdossier #CIKM 2023
1/3

Our paper titled 'Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval' has been accepted by #CIKM2023 🥳! (1/2)

Started my PhD and presented a tutorial at ACM CIKM 2023 🎉

Super excited to have been a part of the tutorial on Data Augmentation for Conversation AI together with Evangelos Kanoulas Faegheh Hasibi and Heydar Soudani. See dataug-convai.github.io for more info