๐Ÿ”Ž๐Ÿค– How does generative AI change web search?
At #ACL2026 ๐Ÿ‡บ๐Ÿ‡ธ, AISOC presents research on:
๐Ÿ“„ generative vs. traditional search
๐ŸŒ source selection & diversity
โš–๏ธ transparency & trust
๐Ÿ’ก Key point: AI doesnโ€™t just retrieve information โ€“ it reshapes what users see.
https://rc-trust.ai/news/news-detail/how-generative-ai-is-changing-web-search
#TrustworthyAI #NLP #MachineLearning #AIResearch #DigitalSociety
What can AI learn about companies beyond text? ๐Ÿค”
At #ACL2026, Ivan Habernal & team present MONETA
โ†’ combining language, satellite data ๐Ÿ›ฐ๏ธ & maps ๐Ÿ—บ๏ธ
A step toward more trustworthy AI ๐ŸŒ
https://rc-trust.ai/news/news-detail/verifying-data-about-companies-goes-multi-modal
Photo credit: ACL 2026 conference website โ€“ https://2026.aclweb.org/

What a week! ๐ŸŒŸ

Our group is celebrating a "triple win" with three papers accepted at #ACL2026, #CVPR2026 Workshop, and #FG2026 !

๐—”๐—–๐—Ÿ
๐˜—๐˜ณ๐˜ฐ๐˜›๐˜ฐ๐˜”: ๐˜—๐˜ณ๐˜ฐ๐˜ฎ๐˜ฐ๐˜ต๐˜ช๐˜ฏ๐˜จ ๐˜—๐˜ณ๐˜ฐ๐˜ด๐˜ฐ๐˜ค๐˜ช๐˜ข๐˜ญ ๐˜‰๐˜ฆ๐˜ฉ๐˜ข๐˜ท๐˜ช๐˜ฐ๐˜ถ๐˜ณ ๐˜ท๐˜ช๐˜ข ๐˜›๐˜ฉ๐˜ฆ๐˜ฐ๐˜ณ๐˜บ ๐˜ฐ๐˜ง ๐˜”๐˜ช๐˜ฏ๐˜ฅ-๐˜๐˜ฏ๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ฆ๐˜ฅ ๐˜๐˜ฆ๐˜ฆ๐˜ฅ๐˜ฃ๐˜ข๐˜ค๐˜ฌ

๐—–๐—ฉ๐—ฃ๐—ฅ ๐—ช๐—ผ๐—ฟ๐—ธ๐˜€๐—ต๐—ผ๐—ฝ
๐˜œ๐˜—-๐˜๐˜ข๐˜ค๐˜Œ: ๐˜œ๐˜ด๐˜ฆ๐˜ณ-๐˜ฑ๐˜ณ๐˜ฆ๐˜ฅ๐˜ช๐˜ค๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜๐˜ช๐˜ฏ๐˜ฆ-๐˜จ๐˜ณ๐˜ข๐˜ช๐˜ฏ๐˜ฆ๐˜ฅ ๐˜๐˜ข๐˜ค๐˜ฆ ๐˜š๐˜ฉ๐˜ข๐˜ฑ๐˜ฆ ๐˜Œ๐˜ฅ๐˜ช๐˜ต๐˜ช๐˜ฏ๐˜จ

๐—™๐—š
๐˜‹๐˜ช๐˜ง๐˜ง๐˜Œ๐˜บ๐˜ฆ๐˜š๐˜บ๐˜ฏ: ๐˜œ๐˜ด๐˜ฆ๐˜ณ-๐˜ด๐˜ฑ๐˜ฆ๐˜ค๐˜ช๐˜ง๐˜ช๐˜ค ๐˜š๐˜ถ๐˜ฃ๐˜ต๐˜ญ๐˜ฆ ๐˜Œ๐˜บ๐˜ฆ ๐˜”๐˜ฐ๐˜ท๐˜ฆ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต ๐˜š๐˜บ๐˜ฏ๐˜ต๐˜ฉ๐˜ฆ๐˜ด๐˜ช๐˜ด ๐˜œ๐˜ด๐˜ช๐˜ฏ๐˜จ ๐˜‹๐˜ช๐˜ง๐˜ง๐˜ถ๐˜ด๐˜ช๐˜ฐ๐˜ฏ ๐˜”๐˜ฐ๐˜ฅ๐˜ฆ๐˜ญ๐˜ด

Congratulations to the team!
For preprints and updates, feel free to visit our website: https://www.collaborative-ai.org/

Collaborative Artificial Intelligence

Our group conducts fundamental research towards collaborative artificial intelligence (CAI) at the intersection of multimodal machine learning, computational cognitive modelling, computer vision, and human-machine interaction.

TrustHLT goes to #ACL2026 ! Arda Yรผksel as the lead author got our paper accepted to the main conference.

Check the cool viz and the full paper package: https://trusthlt.github.io/Moneta/

๐ŸŽ‰Thrilled to announce that the paper "PUMA: Projected Universal Multilingual ASR for Low-Resource Settings" has been accepted at the #ACL2026 Findings Conference!
Congratulations to Ilyes Oukid, Bilal Faye, Hanane Azzag, Mustapha Lebbah and Said Yacine Boulahia, all proud members of the Laboratoire d'Informatique de Paris-Nord (LIPN).
This work was carried out in collaboration with the DAVID Laboratory at University Versailles Saint-Quentin-en-Yvelines/ Universitรฉ Paris-Saclay.

See you in San Diego, USA!

Thanks to a bit of luck, I will be at #ACL2026 to present our article "Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing" (a joint work with @VincentLabatut, Xavier Bost and Hen-Hsen Huang). More details and preprint coming soon!