Yong Liu
4 papers · Latest:
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
PDR is a user-centric framework that personalizes deep research agents by adapting retrieval and synthesis to individual user expertise and interests.
FollowTable: A Benchmark for Instruction-Following Table Retrieval
FollowTable introduces a new benchmark and metric for Instruction-Following Table Retrieval (IFTR), revealing existing models struggle with fine-grained instructions.
ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation
ReCast improves RL in generative recommendation by repairing sparse learning signals and using contrastive updates, significantly boosting performance and efficiency.
Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations
This paper comprehensively reviews and empirically evaluates deep learning optimization methods, identifying key trends and future research directions.
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