#acl2026 — Public Fediverse posts

Having just come back from #ACL2026, and reading Lily Hu's piece (linked at the top of this thread), I am struck by how the glib facility of LLMs is exposing a giant fissure across all academic fields, dividing us within each field based on how we conceive of what we do.

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Language models do not only generate text. They increasingly shape how information is found, classified, summarized, and protected.
At #ACL2026 in San Diego, researchers from #RCTrust contributed three papers and one workshop on privacy in NLP, generative web search, and multimodal industry classification.
The contributions involve Ivan Habernal, Bilal Zafar, and Elisabeth Kirsten.
https://rc-trust.ai/news/news-detail/where-language-models-meet-their-blind-spots
#TrustworthyAI #Privacy #GenerativeAI #WebSearch #DataScience
Photo: Elisabeth Kirsten

I will be presenting our work as a poster tomorrow in the Coronado ballroom at 11:00
preprint: https://arxiv.org/abs/2604.23412
#ACL2026

Proud to share that the RCLN team of the LIPN laboratory will be presenting two papers at premier IR and NLP conferences this July! 🏆

1️⃣ SIGIR 2026 : Voronoi Token Pruning in Late-Interaction Models

By Yash Kankanampati, Yuxuan Zong, Nadi Tomeh, Benjamin Piwowarski, and Joseph Le Roux.

🔗 https://arxiv.org/abs/2603.09933

2️⃣ ACL 2026 : Emergent Mention Detection in LLMs — Accepted at #ACL2026

By Victor Morand, Nadi Tomeh, Josiane Mothe, and Benjamin Piwowarski.

🔗 https://arxiv.org/abs/2510.19410

We look forward to an exciting month of July sharing these advancements!

Well done. The #ACL removed ("desk rejected") over 100 accepted papers from the #ACL2026 program and proceedings that contained citations to non-existing literature:
"The inclusion of these non-existent references is a clear violation of the ACL Policy on Publication Ethics."
Some authors may have already made travel plans. Statement at: https://2026.aclweb.org/acl_statement/

🔎🤖 How does generative AI change web search?
At #ACL2026 🇺🇸, AISOC presents research on:
📄 generative vs. traditional search
🌐 source selection & diversity
⚖️ transparency & trust
💡 Key point: AI doesn’t just retrieve information – 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? 🤔
At #ACL2026, Ivan Habernal & team present MONETA
→ combining language, satellite data 🛰️ & maps 🗺️
A step toward more trustworthy AI 🌍
https://rc-trust.ai/news/news-detail/verifying-data-about-companies-goes-multi-modal
Photo credit: ACL 2026 conference website – https://2026.aclweb.org/

What a week! 🌟

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

𝗔𝗖𝗟
𝘗𝘳𝘰𝘛𝘰𝘔: 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘯𝘨 𝘗𝘳𝘰𝘴𝘰𝘤𝘪𝘢𝘭 𝘉𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘷𝘪𝘢 𝘛𝘩𝘦𝘰𝘳𝘺 𝘰𝘧 𝘔𝘪𝘯𝘥-𝘐𝘯𝘧𝘰𝘳𝘮𝘦𝘥 𝘍𝘦𝘦𝘥𝘣𝘢𝘤𝘬

𝗖𝗩𝗣𝗥 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽
𝘜𝘗-𝘍𝘢𝘤𝘌: 𝘜𝘴𝘦𝘳-𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘢𝘣𝘭𝘦 𝘍𝘪𝘯𝘦-𝘨𝘳𝘢𝘪𝘯𝘦𝘥 𝘍𝘢𝘤𝘦 𝘚𝘩𝘢𝘱𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨

𝗙𝗚
𝘋𝘪𝘧𝘧𝘌𝘺𝘦𝘚𝘺𝘯: 𝘜𝘴𝘦𝘳-𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘚𝘶𝘣𝘵𝘭𝘦 𝘌𝘺𝘦 𝘔𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘴 𝘜𝘴𝘪𝘯𝘨 𝘋𝘪𝘧𝘧𝘶𝘴𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴

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

🎉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/ Université 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!