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Yanjia Li

2 accepted papers

2026

Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation

ICML 2026poster

Vision-Language Pre-trained (VLP) models are vulnerable to real-world query noise. Current cross-modal Test-Time Adaptation (TTA) methods often rely on high-confidence predictions, which induces confirmation bias and neglects the informative signals in ambiguous Low-Confidence Queries. To address th…

Cited by 0SourceScholar
2023

Improving Non-Autoregressive Speech Recognition with Autoregressive Pretraining

ICASSP 2023accepted

Autoregressive (AR) automatic speech recognition (ASR) models predict each output token conditioning on the previous ones, which slows down their inference speed. On the other hand, non-autoregressive (NAR) models predict tokens independently and simultaneously within a constant number of decoding i…

Cited by 0SourceScholar