Papers by Xinru Lu

2 papers
DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation (2026.findings-acl)

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Challenge: Existing presentation agents rely on predefined workflows and fixed templates to generate presentations.
Approach: They propose an agentic framework that adapts to diverse user intents and iterative refinement based on observation.
Outcome: The proposed framework can be used to generate presentations with environmental observations.
ReFLAIR: Enhancing Multimodal Reasoning via Structured Reflection and Reward-Guided Learning (2025.findings-emnlp)

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Challenge: Existing training methods for large models do not address the trade-off between reflection and accuracy.
Approach: a unified framework teaches large models to perform structured reflection via an explicit $think re-think answer $ format and hybrid reward learning.
Outcome: The proposed framework improves model performance on mathematical benchmarks and reduces inference cost by nearly 23%.

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