Hyejeong Jo — accepted AI-conference papers

2026

NeuSpeech: Decode Neural signal as Speech

Yiqian yang, Yiqun Duan, Qiang Zhang, Hyejeong Jo, Jinni Zhou, Won Hee Lee +2

ICASSP 2026poster

Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language models. Compared to invasive-based signals which require electrode implantation surgery, non-invasive neural signals (e.g. EE…

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2026

Position: The Open Benchmark Paradox Must Be Resolved through Sovereign Medical Evaluation

Keonwoo Kim, Hyeseon Ko, Hyejeong Jo, Sewon Kim, Yera Choi, JaeDeok Lee +3

ICML 2026poster

As medical large language models become increasingly involved in clinical actions, public benchmarks are often treated as proxies of deployment-readiness. However, this reliance creates a false sense of security because public scores are often based on data the models have already seen. We call this…

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