collaborators

6 papers

cs.CL2026

Repairing Speech Access After Text Updates with Frozen Affine Fields

Ming-Hao Hsu, Yuxiang Wang, Yingda Shen +1

Speech-capable language models inherit most of their knowledge from text-rich language backbones, and continued model maintenance is likewise dominated by text updates. Knowledge a…

cs.SD2026

What Matters in Preference Post-Training of Continuous Autoregressive Speech Language Models

Yingda Shen, Yao Qian, Dekun Chen +6

Continuous autoregressive speech language models combine an autoregressive (AR) backbone with a diffusion or flow-matching head. Preference post-training requires choosing how to c…

cs.SD2026

AuraSE: Low-Hallucination Generative Speech Enhancement via Multimodal Flow Matching and Inference Policy Optimization

Yingda Shen, Yao Qian, Yuxuan Hu +7

Generative speech enhancement models can produce cleaner and more natural-sounding speech than conventional discriminative approaches, but may hallucinate by changing speech conten…

cs.SD2026

Interpreting and Evaluating Dynamic-Rate Speech Codec Boundaries

Han Wang, Jiaqi Li, Yingda Shen +2

Dynamic-frame-rate neural speech codecs replace a uniform frame grid with variable-duration tokens, making boundary placement part of the representation itself. Yet it is unclear w…

cs.LG2026

RecurTrace: Adaptive Latent Reasoning with Loop-Time Memory

Yuxiang Wang, Kunyu Feng, Yingda Shen +3

Repeating a small block of middle layers increases a language model's effective inference depth without adding parameters or generating extra tokens, and recent work shows that thi…

cs.AI2026

Ignorance or Incompetence? Constructing Knowledge-Gated, Verifiable Tasks for LLM Agents

Hanlin Tian, Minhao Li, Yu Mi +5

Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarely control whether an agent has access to those conventions. We introdu…