Papers by Wenbo Pan

3 papers
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale (2024.emnlp-main)

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Challenge: Large Language Models (LLMs) have made significant strides towards Artificial General Intelligence, but training them from scratch is prohibitively expensive.
Approach: They propose to continuously pre-train LLMs from existing pre-trained LLM models by using a set of parameters instead of randomly initializing them.
Outcome: The proposed approach saves significant resources and accelerates convergence and performance.
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions (2023.emnlp-main)

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Challenge: End-to-end task-oriented dialogue (EToD) can generate responses in an end-to end fashion without modular training, which attracts escalating popularity.
Approach: They present a systematic review of EToD and propose a unified perspective to summarize existing approaches and recent trends.
Outcome: The proposed approaches can generate responses in an end-to-end fashion without modular training, which attracts escalating popularity.

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