Papers by Guanjie Zheng

2 papers
Controllable Abstractive Sentence Summarization with Guiding Entities (2020.coling-main)

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Challenge: Existing text summarization models lack guiding entities to ensure that entities are present in summaries.
Approach: They propose a controllable abstractive sentence summarization model which generates summaries with guiding entities.
Outcome: The proposed model outperforms the state-of-the-art models in evaluation scores and informativeness metrics.
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions (2026.acl-long)

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Challenge: Existing research on reinforcement learning for LLMs under data scarcity has not been unified.
Approach: They propose a top-up hierarchical framework built around three complementary perspectives: data-centric, training-centric and framework-centric.
Outcome: The proposed framework provides a clear conceptual foundation for understanding the design space of data-efficient RL for large language models and to guide researchers working in this emerging area.

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