← Search

Shuhe Li

2 accepted papers

2026

K-FUNCTION: JOINT PRONUNCIATION TRANSCRIPTION AND FEEDBACK FOR EVALUATING KIDS LANGUAGE FUNCTION

ICASSP 2026poster

Evaluating young children's language is challenging for automatic speech recognizers due to high-pitched voices, prolonged sounds, and limited data. We introduce K-Function, a framework that combines accurate sub-word transcription with objective, Large Language Model (LLM)-driven scoring. Its core,…

Cited by 0SourcePDFScholar
2025

MuTIS: Enhancing Reasoning Efficiency through Multi Turn Intervention Sampling in Reinforcement Learning

EMNLP 2025

Recently, large reasoning models (LRMs) have demonstrated state-of-the-art performance across a wide range of benchmarks. However, a common challenge for these models is the “overthinking” problem, which leads to excessive reasoning steps and significant computational overhead. Furthermore, the issu