14 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Harmony: A Human-Aware, Responsive, Modular Assistant with a Locally Deployed Large Language Model
Ziqi Yin, Mingxin Zhang, Daisuke Kawahara
Large Language Models (LLMs) offer powerful capabilities for natural language understanding, enabling more intelligent smart home assistants. However, existing systems often rely o…
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation
Hao Wang, Tetsuro Morimura, Ukyo Honda +1
Non-autoregressive (NAR) language models are known for their low latency in neural machine translation (NMT). However, a performance gap exists between NAR and autoregressive model…
Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance
Ziqi Yin, Hao Wang, Kaito Horio +2
We investigate the impact of politeness levels in prompts on the performance of large language models (LLMs). Polite language in human communications often garners more compliance…
SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition
Hao Wang, Shuhei Kurita, Shuichiro Shimizu +1
Audio-visual speech recognition (AVSR) is a multimodal extension of automatic speech recognition (ASR), using video as a complement to audio. In AVSR, considerable efforts have bee…