2 papers
eess.AS2026
ReLMCodec: Designing Predictable Speech Tokens from Pre-Quantization Phoneme Structure
Zixiang Wan, Xusheng Yang, Zheng Wang +1
Neural speech codecs face a fundamental tension in the language-model era: tokens that support high-fidelity reconstruction are not necessarily easy for autoregressive models to pr…
cs.CV2026
Witness Evidence Portfolios: Single-Prefill Risk Detection for Closed Multimodal Answers
Fexiang Liu, Shiye Wang, Qiang Qiu +1
Reliable deployment of multimodal large language models (MLLMs) requires deciding whether a confident visual answer should be trusted, reviewed, or routed to a stronger system. Con…