3 citations · 4 across the 3 of their papers we have counts for
3 papers
Discovering Novel LLM Experts via Task-Capability Coevolution
Andrew Dai, Boris Meinardus, Ciaran Regan +2
Frontier model developers aim to train models continually to possess emergent, diverse capabilities. To extend capabilities, the current pre-training and post-training paradigm req…
Chrono: A Simple Blueprint for Representing Time in MLLMs
Hector Rodriguez, Boris Meinardus, Anil Batra +2
The recent success of Large Language Models (LLMs) has prompted the extension to the multimodal domain, developing image-text Multimodal LLMs (MLLMs) and then video-text models. In…
Decomposer: Semi-supervised Learning of Image Restoration and Image Decomposition
Boris Meinardus, Mariusz Trzeciakiewicz, Tim Herzig +3
We present Decomposer, a semi-supervised reconstruction model that decomposes distorted image sequences into their fundamental building blocks - the original image and the applied…