Papers by Chenyuhao Wen

2 papers
SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness (2026.acl-long)

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Challenge: SDiaReward is an end-to-end spoken dialogue system that integrates paralinguistic nuances and spontaneous nature of human conversation.
Approach: They propose an end-to-end multi-turn reward model trained on SDiaReward-Dataset . it is a collection of episode-level preference pairs targeting modality and colloquiality gaps .
Outcome: The proposed model outperforms general-purpose audio LLMs in episode-level evaluation.
Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios (2026.findings-acl)

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Challenge: Existing evaluation benchmarks for long-form speech are limited to limited domains, creating a significant gap with the diverse downstream applications.
Approach: They propose a benchmark that decomposes "long-form speech quality" into specific, disentangled dimensions.
Outcome: The proposed benchmark decomposes “long-form speech quality” into specific, disentangled dimensions.

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