Papers by Xueting Han

2 papers
Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks (2025.findings-emnlp)

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Challenge: Existing methods for reinforcement learning (RL) on self-generated data are limited in many domains.
Approach: a new framework combines plan-based search with Step-level Advantage Preference Optimization to optimize plan learning.
Outcome: The proposed framework improves in-domain performance and out-of-domain benchmarks.
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding (2026.acl-long)

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Challenge: Existing methods for streaming video understanding are query-agnostic and implicitly model video evidence.
Approach: They propose a framework that establishes explicit, structured alignment between the accumulated video evidence and the query’s expected response conditions via scene graphs.
Outcome: The proposed model achieves more interpretable and accurate response timing decisions on both proactive and reactive tasks.

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