Academic works: Difference between revisions
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''See: [[LLM navigation agent]]'' | ''See: [[LLM navigation agent]]'' | ||
=== (Pro?)active agent guidance === | |||
Spawned from the navigator idea. Make the agent capable of actively asking for information might help the human user form more structured, concise and solid input. |
Revision as of 20:27, 6 October 2023
I am Wan Ziyu, a current doctoral course student at Human-Computer Interaction Laboratory, Hokkaido University. I have relatively formal education on opto-electrical engineering and some computer science, and informal self-education on linguistics and phonetics.
I am not very proud to say that I have no publications as of now (whenever you are looking at this page, that is).
However, I feel that it is equally important to introduce what I am currently doing and what I have done in the slight case that you are interested.
Research strengths and, well, abilities
I don't have any specifically notable certificates or qualifications so take everything I list here with a pinch of salt.
- Digital signal processing, with Python (librosa / numpy / scipy) and a some C++ (iPlug2 for creating VST apps)
- Neural network (rather basic) with Tensorflow / Keras. Also a tad of PyTorch, but I hate migrating between toolkits.
- Some HTML / JavaScript for unpretty utility webpages.
- Some bash / Python for task automation.
- LLM prompt composition, generic LLM utilisation.
- Basic welding and electrician skills.
Research topics / interests
Language-independent speech recognition
To capture the phonemes (sound) rather than text, a language-independent speech recognition system is proposed.
See: Language-independent speech recognition
Based on the half-faith, half-fact (proportions may vary) that vehicle navigation is a social, conversational task, I think it might be good to enable navigation softwares to have some conversation with the driver as well.
See: LLM navigation agent
(Pro?)active agent guidance
Spawned from the navigator idea. Make the agent capable of actively asking for information might help the human user form more structured, concise and solid input.