We hope to establish a regular series of one-day meetings in Paris, bringing together NLP researchers from the Paris community and beyond to share research, stimulate discussion, and build collaborations.

The Pre-Conference will be held on March 18, 2026, at Salle Dussane, École normale supérieure (45 Rue d'Ulm, 75005 Paris).

The event is free of charge, but registration in advance is required.

We welcome presentations of papers accepted to:

• EACL 2026 (including Findings)
• EACL 2026 Workshops
• ICLR 2026 (NLP-related papers only)

Additionally, if time and space permit, we may also accommodate:

• Recent journal publications in NLP (TACL, TMLR, etc.)
• Recent papers from other major conferences

We can modify the lunch schedule to allow additional presentations. If you would like to present your work at this Pre-Conference, please complete the form as soon as possible: https://forms.gle/kB2CVUU8UP6rsrPE8 

This Pre-Conference will take place from 9:30 AM to 5:00 PM and will include oral presentations and panel discussions. The detailed schedule will be announced one week before the event. Coffee breaks will be provided, but participants should arrange their own lunch.

The speakers and papers are as follows (more may be added):

• Arij Riabi, IYKYK: Using language models to decode extremist cryptolects (EACL 2026)
• Arij Riabi, The Anthropology of Food: How NLP can Help us Unravel the Food Cultures of the World (EACL 2026 Workshop)
• Arthur Satouf, QueStER: Query Specification for Generative keyword-based Retrieval (EACL 2026)
• Ayoub Hammal, Kad: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral (EACL 2026)
• Léo Labat, Polyglots or Multitudes? Multilingual LLM Answers to Value-laden Multiple-Choice Questions (EACL 2026)
• Loïc Fosse, DivMerge: A divergence-based model merging method for multi-tasking (EACL 2026)
• Mingmeng Geng, code_transformed: The Influence of Large Language Models on Code (EACL 2026)
• Noé Durandard, Evaluating Style Embeddings for Machine-Generated Text Detection (LREC 2026)
• Pierre-Carl Langlais, Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training (ICLR 2026)
• Syrielle Montariol, DrivingVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios (EACL 2026)
• Yang Zhang, Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning (EACL 2026)
• Yongxin Zhou, What Matters to an LLM? Behavioral and Computational Evidences from Summarization (EACL 2026)

• Frédéric Béchet (LIS, AMU)
• Antoine Bourgois (LATTICE, CNRS, ENS-PSL)
• Mathieu Dehouck (LATTICE, CNRS, ENS-PSL)
• Mingmeng Geng (LATTICE, CNRS, ENS-PSL)
• Amr Mohamed (MBZUAI Paris & LIX, Ecole Polytechnique)
• Joanna Radoła (ISIR, Sorbonne)

With support from GDR Traitement Automatique des Langues and Laboratoire Lattice

Contact: paris-nlp-03-26 AT sciencesconf.org