5 papers
Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification
Linh Uyen Le, Christian Hoang, Huy Hoang Ha
Clinical de-identification relies on accurately identifying personally identifiable information (PII). However, manually annotated datasets are costly to construct, while existing…
MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
Huy Hoang Ha, Benoit Favre, Francois Portet
Large language models (LLMs) have saturated standard medical benchmarks that test factual recall, yet their ability to perform higher-order reasoning, such as synthesizing evidence…
Speechless: Speech Instruction Training Without Speech for Low Resource Languages
Alan Dao, Dinh Bach Vu, Huy Hoang Ha +6
The rapid growth of voice assistants powered by large language models (LLM) has highlighted a need for speech instruction data to train these systems. Despite the abundance of spee…
Pensez: Less Data, Better Reasoning -- Rethinking French LLM
Huy Hoang Ha
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, achieving strong performance in specialized domains li…
Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant
Alan Dao, Dinh Bach Vu, Huy Hoang Ha
Large Language Models (LLMs) have revolutionized natural language processing, but their application to speech-based tasks remains challenging due to the complexities of integrating…