<div dir="ltr"><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Call for Papers & Participation</span></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> 2^nd<span class="gmail-Apple-converted-space"> </span>International Meeting on Foundation Models - IMFM 2024<span class="gmail-Apple-converted-space"> </span></span></b></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">co-located event at the 10th International Conference on Learning, Optimization & Data - LOD 2024</span></b></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></b></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Call for Papers & Participation</span></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">22-25 September 2024</span></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Submission Deadline: April 23</span></b></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" align="center" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0);text-align:center"><a href="https://lod2024.icas.events/imfm2024/" style="color:rgb(149,79,114)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">https://lod2024.icas.events/imfm2024/</span></a><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">We invite abstracts and papers on a broad range of subject areas focused on Foundation Models. It follows a<span class="gmail-Apple-converted-space"> </span></span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt"> non-exhaustive list of topics of interests:</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Language</span></i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> – Large Language Models.</span></p><h1 style="margin:0cm;break-after:avoid;font-size:16pt;font-family:"Calibri Light",sans-serif;color:rgb(47,84,150);font-weight:normal"><i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif;color:windowtext">Vision</span></i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif;color:windowtext"> – Large Vision Models</span><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">.</span><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif;color:black"></span></h1><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt">Math</span></i><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>Foundation Models,<span class="gmail-Apple-converted-space"> </span><i>Code</i><span class="gmail-Apple-converted-space"> </span>Foundation Models.</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Multimodal Foundation Models (Vision and Language</span></i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">,<span class="gmail-Apple-converted-space"> </span><i>Beyond Vision and Language)<span class="gmail-Apple-converted-space"> </span></i></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><strong><i><span lang="EN-GB" style="font-size:10pt;font-weight:normal">Alignment</span></i></strong><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>(in-context alignment & reinforcement learning).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt">Applications of FMs</span></i><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>(biology, chemistry, drug science, engineering, medicine, material science, physics, …).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><strong><i><span lang="EN-GB" style="font-size:10pt;font-weight:normal">Assessment of FMs</span></i></strong><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>(benchmarks, evaluation protocols, human/machine evaluation, metrics, scalable oversight, simulation environments).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><strong><i><span lang="EN-GB" style="font-size:10pt;font-weight:normal">Data</span></i></strong><strong><span lang="EN-GB" style="font-size:10pt;font-weight:normal"><span class="gmail-Apple-converted-space"> </span><i>for FMs</i><span class="gmail-Apple-converted-space"> </span></span></strong><span lang="EN-GB" style="font-size:10pt">(alignment data, curation data, generation data, pre-training data, synthetic data).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><strong><i><span lang="EN-GB" style="font-size:10pt;font-weight:normal">Efficiency and Robustness of FMs (</span></i></strong><span lang="EN-GB" style="font-size:10pt">compression, distillation, memory efficient methods, quantization, robustness, sample efficient methods, sensitivity analysis<strong><i><span style="font-weight:normal">).</span></i></strong><strong><span style="font-weight:normal"></span></strong></span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><strong><i><span lang="EN-GB" style="font-size:10pt;font-weight:normal">Embodiment and FMs<span class="gmail-Apple-converted-space"> </span></span></i></strong><span lang="EN-GB" style="font-size:10pt">(action, multimodality, perception & robotics).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt">Engineering aspects for FMs</span></i><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>(distributed training, FM-driven software engineering, integration with tools and APIs, optimization instability, training dynamics).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt">Interactions with FMs (</span></i><span lang="EN-GB" style="font-size:10pt">conversation, interactive learning & multi-agents learning, factuality, retrieval-augmented<span class="gmail-Apple-converted-space"> </span><strong><span style="font-weight:normal">FMs</span></strong>, knowledge models, common-sense reasoning, theory of mind, social norms, and world models<i>).</i></span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt">Learning for FMs (</span></i><span lang="EN-GB" style="font-size:10pt">learning,<span class="gmail-apple-converted-space"> </span><em>un</em>learning, meta learning, multi-task learning, model mixing methods, lifelong learning<i>,<span class="gmail-Apple-converted-space"> </span></i>decoding algorithms, reasoning algorithms, search algorithms, planning algorithms<i>).</i></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Personalizing</span></i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"><span class="gmail-Apple-converted-space"> </span>FMs.</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Safety, Security and Privacy for FMs<span class="gmail-Apple-converted-space"> </span></span></i><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">(adversarial attacks, defences, and misinformation).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><strong><i><span lang="EN-GB" style="font-size:10pt;font-weight:normal">Theory</span></i></strong><strong><span lang="EN-GB" style="font-size:10pt;font-weight:normal"><span class="gmail-Apple-converted-space"> </span><i>of FMs</i></span></strong><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>(computational time complexity, computational space complexity, phase transitions, scaling laws, fundamental limitations, emergent capabilities, demystification, interpretability, training dynamics, grokking, learning theory for Foundation Models).</span></p><p style="margin:0cm;font-size:medium;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><i><span lang="EN-GB" style="font-size:10pt">Tuning of FMs</span></i><span lang="EN-GB" style="font-size:10pt"><span class="gmail-Apple-converted-space"> </span>(fine-tuning, instruction-tuning, prompt tuning).</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">LOD 2024 / IMFM 2024 Keynote Speakers:</span></b></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Vivek Natarajan</span></b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">, Google Health AI, San Francisco Bay Area, CA, USA<br>“<i>How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone</i>“</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Michal Valko</span></b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">, Google DeepMind Paris, INRIA & École Normale Supérieure Paris-Saclay, France<br>“<i>Fine Tuning Large Language Models & Gemini</i>“</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Sven Giesselbach</span></b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">, Fraunhofer Institute – IAIS, Germany<br>Title TBA<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Important Dates:<span class="gmail-Apple-converted-space"> </span></span></b></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">paper submission deadline: Tuesday April 23, 2024 (AoE)<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">paper acceptance decision to authors: by Thursday May 23, 2024<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Camera Ready Submission Deadline: by Sunday June 23, 2024<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">All papers must be submitted using<span class="gmail-Apple-converted-space"> </span></span><a href="https://easychair.org/conferences/?conf=lod2024" style="color:rgb(149,79,114)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">EasyChair</span></a><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"><span class="gmail-Apple-converted-space"> </span>(please select the track: “<b>2nd International Meeting on Foundation Models</b>” short name: “<b>2nd IMFM2024</b>”).<span class="gmail-Apple-converted-space"> </span></span><a href="https://easychair.org/conferences/?conf=lod2024" style="color:rgb(149,79,114)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">https://easychair.org/conferences/?conf=lod2024</span></a><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">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.<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Organizers and Chairs:<span class="gmail-Apple-converted-space"> </span></span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Giuseppe Nicosia, University of Catania, Italy</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif">Sven Giesselbach, Fraunhofer Institute – IAIS, Germany</span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:medium;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><span lang="EN-GB" style="font-size:10pt;font-family:"Times New Roman",serif"> </span></p></div>