Papers by Zihang Sun

2 papers
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data (2024.lrec-main)

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Challenge: Named Entity Recognition (NER) is a fundamental task to extract key information from texts, but annotated resources are scarce for dialects.
Approach: They present the first dialectal NER dataset for German, BarNER, with 161K tokens annotated on Bavarian Wikipedia articles and tweets.
Outcome: The proposed dataset improves on bar-wiki and moderately on bartweet with training first on Bavarian .
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models (2024.emnlp-main)

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Challenge: Large language models (LLMs) are increasingly permeating daily lives and require real-time interactions that mirror human conversations.
Approach: They propose to use time-division-multiplexing to process queries and responses pseudo-simultaneously.
Outcome: The proposed model can listen to users while generating output and adjust to provide instant feedback.

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