Papers by Xuanhua Yang

2 papers
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning (2022.naacl-industry)

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Challenge: a paper focuses on automatically generating the text of an ad to capture user interest for achieving higher click-through rate.
Approach: They propose a CTR-driven advertising text generation approach to generate ad texts based on user reviews.
Outcome: The proposed approach outperforms existing approaches on industrial datasets and on large-scale unpaired reviews.
CoSToM: Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models (2026.acl-long)

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Challenge: Large language models lack intrinsic cognition and cannot generalize to complex task-specific scenarios.
Approach: They propose a framework that transitions from mechanistic interpretation to active intervention to map internal distributions of ToM features and implement it via targeted activation steering within ToM-critical layers.
Outcome: The proposed framework significantly enhances human-like social reasoning capabilities and dialogue quality.

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