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Jean Louis

JLouisBiz
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https://www.StartYourOwnGoldMine.com

AI & ML interests

- LLM for sales, marketing, promotion - LLM for Website Revision System - increasing quality of communication with customers - helping clients access information faster - saving people from financial troubles

Recent Activity

replied to Jiaqi-hkust's post about 17 hours ago
We have open-sourced Robust-R1 (AAAI 2026 Oral), a new paradigm in the field of anti-degradation and robustness enhancement for multimodal large models. Multimodal Large Language Models struggle to maintain reliable performance under extreme real-world visual degradations, which impede their practical robustness. Existing robust MLLMs predominantly rely on implicit training/adaptation that focuses solely on visual encoder generalization, suffering from limited interpretability and isolated optimization. To overcome these limitations, we propose Robust-R1, a novel framework that explicitly models visual degradations through structured reasoning chains. Our approach integrates: (i) supervised fine-tuning for degradation-aware reasoning foundations, (ii) reward-driven alignment for accurately perceiving degradation parameters, and (iii) dynamic reasoning depth scaling adapted to degradation intensity. To facilitate this approach, we introduce a specialized 11K dataset featuring realistic degradations synthesized across four critical real-world visual processing stages, each annotated with structured chains connecting degradation parameters, perceptual influence, pristine semantic reasoning chain, and conclusion. Comprehensive evaluations demonstrate state-of-the-art robustness: Robust-R1 outperforms all general and robust baselines on the real-world degradation benchmark R-Bench, while maintaining superior anti-degradation performance under multi-intensity adversarial degradations on MMMB, MMStar, and RealWorldQA. We have made all of our papers, codes, data, model weights and demos fully open-source: Paper: https://huggingface.co/papers/2512.17532 (help us to upvote) GitHub code: https://github.com/jqtangust/Robust-R1 (help us to star) HF model: https://huggingface.co/Jiaqi-hkust/Robust-R1 HF data: https://huggingface.co/datasets/Jiaqi-hkust/Robust-R1 HF Space: https://huggingface.co/spaces/Jiaqi-hkust/Robust-R1 We sincerely invite everyone to give it a try.
reacted to inoculatemedia's post with šŸ‘ about 18 hours ago
Iā€™m opening the waitlist for what I believe to be the most advanced multimodal bridge for A/V professionals. Txt2img, img2video, editing, export to ProRes, apply Luts, Pexels and TouchDesigner integrations, music and voice gen, multichannel mixing. Announcing: Lilikoi by Haawke AI Teaser video made entirely with Lilikoi: https://youtu.be/-O7DH7vFkYg?si=q2t5t6WjQCk2Cp0w Https://Lilikoi.haawke.com Technical brief: https://haawke.com/technical_brief.html
new activity 2 days ago
Kibalama/lugandaSTT:How do I convert the file for whispper.cpp compatibility?
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