Tootfinder

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Mildlife:
🎵 Musica
#Mildlife
https://open.spotify.com/track/3dVJb81RGXQmCP076vsB6a
https://mildlife.bandcamp.com/track/musica-2

ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation
Shaojie Dai, Xin Liu, Ping Luo, Yue Yu
https://arxiv.org/abs/2403.06745 http…

ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation
Large language model (LLM) has achieved promising performance in multilingual machine translation tasks through zero/few-shot prompts or prompt-tuning. However, due to the mixture of multilingual data during the pre-training of LLM, the LLM-based translation models face the off-target issue in both prompt-based methods, including a series of phenomena, namely instruction misunderstanding, translation with wrong language and over-generation. For this issue, this paper introduces an \textbf{\unde…

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

🔊 #NowPlaying on fip
Mildlife:
🎵 Musica
#Mildlife
https://open.spotify.com/track/3dVJb81RGXQmCP076vsB6a
https://mildlife.bandcamp.com/track/musica-2

🔊 #NowPlaying on #fip
Mildlife:
🎵 Sunrise
#Mildlife
https://open.spotify.com/track/31aEFY4og4dnPJFCXIwxCu
https://mildlife.bandcamp.com/track/sunrise-2

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
Timothee Mickus, Stig-Arne Gr\"onroos, Joseph Attieh, Michele Boggia, Ona De Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Ra\'ul V\'azquez, J\"org Tiedemann
https://arxiv.org/abs/2403.07544…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. In this paper, we present the MAMMOTH toolkit: a framework designed for training massively multilingual modular machine translation systems at scale, initially derived from OpenNMT-py and then adapted to ensure effici…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
Timothee Mickus, Stig-Arne Gr\"onroos, Joseph Attieh, Michele Boggia, Ona De Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Ra\'ul V\'azquez, J\"org Tiedemann
https://arxiv.org/abs/2403.07544…

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. In this paper, we present the MAMMOTH toolkit: a framework designed for training massively multilingual modular machine translation systems at scale, initially derived from OpenNMT-py and then adapted to ensure effici…

🔊 #NowPlaying on fip
Mildlife:
🎵 Forever
#Mildlife
https://open.spotify.com/track/1G3i664RvLdQ4aKrPtvAhY
https://mildlife.bandcamp.com/track/forever-2

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
Xin Zhao, Naoki Yoshinaga, Daisuke Oba
https://arxiv.org/abs/2403.05189 …

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
Acquiring factual knowledge for language models (LMs) in low-resource languages poses a serious challenge, thus resorting to cross-lingual transfer in multilingual LMs (ML-LMs). In this study, we ask how ML-LMs acquire and represent factual knowledge. Using the multilingual factual knowledge probing dataset, mLAMA, we first conducted a neuron investigation of ML-LMs (specifically, multilingual BERT). We then traced the roots of facts back to the knowledge source (Wikipedia) to identify the ways…

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
Xin Zhao, Naoki Yoshinaga, Daisuke Oba
https://arxiv.org/abs/2403.05189 …

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
Acquiring factual knowledge for language models (LMs) in low-resource languages poses a serious challenge, thus resorting to cross-lingual transfer in multilingual LMs (ML-LMs). In this study, we ask how ML-LMs acquire and represent factual knowledge. Using the multilingual factual knowledge probing dataset, mLAMA, we first conducted a neuron investigation of ML-LMs (specifically, multilingual BERT). We then traced the roots of facts back to the knowledge source (Wikipedia) to identify the ways…