🧑‍🔬 Ashley Gao

🏛️ Affiliations

🎓William & MaryWilliamsburg · United States2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling (2026)
   Neural speech codecs turn audio into discrete tokens for speech language models. Earlier studies show that emotional nuance is often lost in this step, even when overall reconstruction sounds good. AffectCodec makes emotion preservation an explicit training goal instead of an incidental side effect.
2. Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing (2026)
   Large language models can keep producing outdated or wrong facts. In-context knowledge editing (IKE) addresses this at inference time by putting corrected facts and demonstrations into the prompt, without changing weights, which makes it suitable for black-box APIs. However, current IKE pipelines pick demonstrations…

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Yanfu Zhang ×2
• Xinyuan Song

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

Updated 1 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ashley-gao/