The project EDAMOK (Enabling Distributed and Autonomous Management of Knowledge) aims at promoting a distributed approach to knowledge management, namely an approach based on the two following principles: (i) Principle of Autonomy: each organizational unit should be allowed a large degree of autonomy in managing (creating, representing, organizing, selecting, sharing) its own knowledge (“local” knowledge); (ii) Principle of Coordination: knowledge sharing across organizational units should be thought of as a form of coordination between multiple autonomous perspectives rather than as a process of creating (and imposing) a supposedly shared knowledge structure. The goal of EDAMOK is to develop (i) a theoretical framework, a (ii) methodology, and (iii) a collection of technological tools to support this distributed and autonomous approach to knowledge management.
Our pick of the week by @mgaido91: "AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM" by @RuchaoFan, Bo Ren, Yuxuan Hu, Rui Zhao, Shujie Liu, Jinyu Li (2024).
#NLProc #Speech #instructionfollowing #zeroshot #speechtech #speechllm
AI is transforming cultural heritage, but what have we learned?
Come and join the #AI4Culture movement at our Final Conference on March 10 in Hilversum to explore AI’s current & future impact on cultural heritage.
Details & Registration: https://pretix.eu/EFHA/AI4Culture/
@EU_HaDEA
BOUQuET💐: an OPEN INITIATIVE aimed at building an evaluation dataset for massively multilingual text-to-text MT.
Let’s make MT available for any written language!
We are inviting everyone to contribute: ➡️
More details at: https://arxiv.org/abs/2502.04314
I am happy to announce that I will speak about our recent work "How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?" at the SlatorCon in March 🎊
📃 Preprint available here: