Papers by Yongnan Jin

2 papers
DRBO: Mitigating Short Board Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization (2025.findings-emnlp)

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Challenge: a new framework to optimize large language models (LLMs) for evaluation metrics is needed to balance weaker metrics.
Approach: They propose a Dynamic Reward Balancing Optimization framework to mitigate the "short-board effect" they apply it to single-task and multi-type task scenarios .
Outcome: The proposed framework improves performance and balances performance across multiple metrics.
ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases (2025.acl-demo)

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Challenge: et al., 2017) address domain-specific knowledge barriers, schemas complexity, and computational costs of large LLMs.
Approach: They propose a domain-adapted Text2SQL system that addresses critical deployment challenges in professional fields.
Outcome: The proposed system achieves 97% execution accuracy on real-world databases . it is faster than existing systems and has a higher performance than existing ones.

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