5 citations · 20 across the 30 of their papers we have counts for
5 papers · 1 filter
Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite
Chan-Jan Hsu, Chang-Le Liu, Feng-Ting Liao +3
The evaluation of large language models is an essential task in the field of language understanding and generation. As language models continue to advance, the need for effective b…
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia +2
Channel modelling is essential to designing modern wireless communication systems. The increasing complexity of channel modelling and the cost of collecting high-quality wireless c…
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning
Feng-Ting Liao, Yung-Chieh Chan, Yi-Chang Chen +2
In this work, we propose a method to create domain-sensitive speech recognition models that utilize textual domain information by conditioning its generation on a given text prompt…
Image generation with shortest path diffusion
Ayan Das, Stathi Fotiadis, Anil Batra +5
The field of image generation has made significant progress thanks to the introduction of Diffusion Models, which learn to progressively reverse a given image corruption. Recently,…
Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results
Philipp Ennen, Po-Chun Hsu, Chan-Jan Hsu +6
In this paper we present the multilingual language model BLOOM-zh that features enhanced support for Traditional Chinese. BLOOM-zh has its origins in the open-source BLOOM models p…