Thematic Axis: NLP & LLMs

Leader(s)

Christophe Cerisara

Yannick Parmentier

Mailing list

In order to get information about the WG activities, you can subscribe to its mailing list at https://sympa.inria.fr/sympa/info/mosaiknlp.

Description

Members of the MosAIk team working on the Natural Language Processing & Large Language Models (NLP & LLMs) axis share a common interest in textual data. Their activities belong to the following axes :

  1. research work focussing either on LLMs themselves, or on the use of LLMs in the context of NLP applications ;
  2. research work focussing on multimodal deep learning models ;
  3. research work focussing on (deep and non-deep) Machine Learning techniques applied on texts ;
  4. research work focussing on NLP applications.

Current activities include LLM compression, (multilingual) text generation, merging of knowledge-based information and LLMs in the context of hybrid AI, federating learning techniques, and NLP applications such as literature analysis or Computer-Assisted Language Learning.

The main objectives in relation to this axis is to provide researchers with a space to facilitate cooperation on the topics mentioned above, e.g. by sharing expertise and / or code.

Organisation

We propose to organise our work within “focal groups”, which are even totally bottom-up and free to “create”, self-organize and disappear. Focal groups are typically composed of 2 to 6 members who have decided to work or study together some precise topic related to LLM.

   Team               Team axes            Focal groups     Topic           Contact

┌────────┐             ┌─────┐              ┌───────┐
│ Mosaik ├─────┬───────┤ NLP ├───────┬──────┤ LLM42 │    LLM internals      Christophe Cerisara
└────────┘     │       └─────┘       │      └───────┘
               │                     │      ┌───────┐
               │                     ├──────┤Review │    Lit. review        Barbara Gendron
               │                     │      └───────┘
               │                     │      ┌───────┐
               │                     └──────┤ Philo │    Reasoning          David Langlois
               │                            └───────┘
               │       ┌────────┐
               ├───────┤ Frugal │
               │       └────────┘
               │
               │
               │         ┌─────┐
               └─────────┤ ... │
                         └─────┘
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