Aineva

Oct 1, 2009 | Projects

1 October 2009 to 31 August 2012 - PROJECT CLOSED

AINEVA is the association of Italian regions and autonomous provinces which include Alps, whose goal is to coordinate efforts that local members play in the prevention and information in the field of snow and avalanches. On a daily basis, AINEVA members compile and make available bulletins of conditions and avalanche forecasts written in Italian. In order to allow their consultation to non-Italian people (e.g. foreign tourists), AINEVA members provide translations of original bulletins into languages such as English, French, German and Slovenian. AINEVA and FBK started a 20-month collaboration at the end of 2009 with the goal of developing a system for the automatic translation of such bulletins into English, French and German.

MT Group at FBK Follow

#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

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12 Aug

Our pick of the week:

"Large Language Diffusion Model" by Shen Nie, Fengqi Zhu, @ZebinYou, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, @LiChongxuan

It is very cool to see how the researcher combine diffusion model and transformer blocks to train

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Avatar MT Group at FBK @fbk_mt ·

24 Jul

Our pick of the week by
@mgaido91

: "FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model" by Jiaqi Li, Chaoren Wang, Xiaohai Tian, Mingjie Chen, Xinyu Liang, Xu Li, Yufan Lin, Junwen Qiu, Jun Zhang, Lu Lu, Haizhou Li and @drwuz
#SLM #EfficientInference

Marco Gaido @mgaido91

Cool to see a work that adaptively chooses at inference how much to compress the input speech sequence, to control inference costs and quality based on the input, without enforcing a global trade-off to each segment: https://arxiv.org/pdf/2606.31247

@fbk_mt

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8 Jul

Our pick of the week by
@FBKZhihangXie : "Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models" by Haoqin Sun, @Chenyang_Lyu, Shiwan Zhao, Xuanfan Ni, Xiangyu Kong, @wangly0229, Weihua Luo and Yong Qin
#SpeechLLM #LongFormSpeech #SLU

Zhihang Xie @FBKZhihangXie

🚀 New paper: Speech-XL for long-form SpeechLLMs
📄 https://arxiv.org/abs/2602.05373
🧩 Uses Speech Summarization Tokens to compress local speech intervals into compact KV states efficiently.
✨ Improves long-form speech understanding while reducing memory and FLOPs on 10-minute audio.

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Avatar MT Group at FBK @fbk_mt ·

25 Jun

Last week, we had a great talk for our MT Seminar Series!
@julius_gulius a PhD from @cambridgenlp presented a talk on "Effective uses of grammatical knowledge in extremely low-resource Machine Translation"
#MachineTranslation #LowResourceMT #NLProc #FBK

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