Connectionists: Call for Papers & Participation 2nd International Meeting on Foundation Models - IMFM 2024 co-located event at the 10th International Conference on Learning, Optimization & Data - LOD 2024

[Ludovico Montalcini]

Call for Papers & Participation

* 2nd International Meeting on Foundation Models - IMFM 2024 *

*co-located event at the 10th International Conference on Learning,
Optimization & Data - LOD 2024*



Call for Papers & Participation



22-25 September 2024

Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany,
Italy

*Submission Deadline: April 23*



https://lod2024.icas.events/imfm2024/



We invite abstracts and papers on a broad range of subject areas focused on
Foundation Models. It follows a

 non-exhaustive list of topics of interests:



*Language* – Large Language Models.
*Vision* – Large Vision Models.

*Math* Foundation Models, *Code* Foundation Models.

*Multimodal Foundation Models (Vision and Language*, *Beyond Vision and
Language) *



*Alignment* (in-context alignment & reinforcement learning).

*Applications of FMs* (biology, chemistry, drug science, engineering,
medicine, material science, physics, …).

*Assessment of FMs* (benchmarks, evaluation protocols, human/machine
evaluation, metrics, scalable oversight, simulation environments).

*Data** for FMs *(alignment data, curation data, generation data,
pre-training data, synthetic data).

*Efficiency and Robustness of FMs (*compression, distillation, memory
efficient methods, quantization, robustness, sample efficient methods,
sensitivity analysis*).*

*Embodiment and FMs *(action, multimodality, perception & robotics).

*Engineering aspects for FMs* (distributed training, FM-driven software
engineering, integration with tools and APIs, optimization instability,
training dynamics).

*Interactions with FMs (*conversation, interactive learning & multi-agents
learning, factuality, retrieval-augmented *FMs*, knowledge models,
common-sense reasoning, theory of mind, social norms, and world models*).*

*Learning for FMs (*learning, *un*learning, meta learning, multi-task
learning, model mixing methods, lifelong learning*, *decoding algorithms,
reasoning algorithms, search algorithms, planning algorithms*).*

*Personalizing* FMs.

*Safety, Security and Privacy for FMs *(adversarial attacks, defences, and
misinformation).

*Theory** of FMs* (computational time complexity, computational space
complexity, phase transitions, scaling laws, fundamental limitations,
emergent capabilities, demystification, interpretability, training
dynamics, grokking, learning theory for Foundation Models).

*Tuning of FMs* (fine-tuning, instruction-tuning, prompt tuning).



*LOD 2024 / IMFM 2024 Keynote Speakers:*

*Vivek Natarajan*, Google Health AI, San Francisco Bay Area, CA, USA
“*How LLMs might accelerate biomedical discovery and help scale world class
healthcare to everyone*“

*Michal Valko*, Google DeepMind Paris, INRIA & École Normale Supérieure
Paris-Saclay, France
“*Fine Tuning Large Language Models & Gemini*“

*Sven Giesselbach*, Fraunhofer Institute – IAIS, Germany
Title TBA



*Important Dates: *

paper submission deadline: Tuesday April 23, 2024 (AoE)

paper acceptance decision to authors: by Thursday May 23, 2024

Camera Ready Submission Deadline: by Sunday June 23, 2024

All papers must be submitted using EasyChair
<https://easychair.org/conferences/?conf=lod2024> (please select the track:
“*2nd International Meeting on Foundation Models*” short name: “*2nd
IMFM2024*”). https://easychair.org/conferences/?conf=lod2024



All accepted papers will be published in a volume of the series on Lecture
Notes in Computer Science (LNCS) from Springer – Nature after the
conference (Conference Post-Proceedings). The call for papers (CfP) for the
LOD 2024 event on “Foundation Models” is the same CfP used for the entire
LOD 2024 conference.



Organizers and Chairs:

Giuseppe Nicosia, University of Catania, Italy

Sven Giesselbach, Fraunhofer Institute – IAIS, Germany
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