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 (βlocalβ 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.
ππΌ Excited to share our work on Speech Foundation Model for data crowdsourcing at COLING 2025 ππΌ
Our co-author Laurent Besacier (@laurent_besacie) at NAVER LABS Europe will be presenting -- don't miss it.
ππΌ Details: https://mt.fbk.eu/1-paper-accepted-at-coling-2025
Exciting news: @iwslt is co-located with #ACL2025NLP again this year! π
Interested in speech processing? Check out the new task on instruction following β any model can participate! π
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Data release: April 1
β³ Submission deadline: April 15
Donβt miss it! π¬ #NLP #SpeechTech
Weekly pick from the #MeetweenScientificWatch: βVideo-SALMONN: Speech-enhanced audio-visual large language modelsβ β Redefining video comprehension with speech-aware AV-LLMs and groundbreaking QA accuracy. π₯π€π€
Iβm glad to announce that our work βHow "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?β has been accepted at the Transactions of @aclanthology (TACL)! π
The preprint is available here: