Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems. - Hitesh Khandelwal; Viet Ha-Thuc; Avishek Dutta; Yining Lu; Nan Du 003; Zhihao Li; Qi Hu (RecSys, 2021)

Comparison of Muscle Activity and Ultrasound Response of Lower Extremity Muscles During Treadmill and Track Running. - Chenghui Lin; Shudong Li; Yining Lu; Huw Wiltshire (J. Medical Imaging Health Informatics, 2021)

Functional Optimization Reinforcement Learning for Real-Time Bidding. - Yining Lu; Changjie Lu; Naina Bandyopadhyay; Manoj Kumar 009; Gaurav Gupta 003 (CoRR, 2022)

ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation. - Yining Lu; Jingxi Qiu; Gaurav Gupta 003 (CoRR, 2022)

RORA: Robust Free-Text Rationale Evaluation. - Zhengping Jiang; Yining Lu; Hanjie Chen; Daniel Khashabi; Benjamin Van Durme; Anqi Liu (ACL (1), 2024)

GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution. - Yining Lu; Haoping Yu; Daniel Khashabi (EACL (1), 2024)

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. - Xiao Ye; Andrew Wang; Jacob Choi; Yining Lu; Shreya Sharma; Lingfeng Shen; Vijay Murari Tiyyala; Nicholas Andrews; Daniel Khashabi (EMNLP, 2024)

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. - Xiao Ye; Andrew Wang; Jacob Choi; Yining Lu; Shreya Sharma 010; Lingfeng Shen; Vijay Murari Tiyyala; Nicholas Andrews; Daniel Khashabi (CoRR, 2024)

RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. - Dongwei Jiang; Guoxuan Wang; Yining Lu; Andrew Wang; Jingyu Zhang; Chuyu Liu; Benjamin Van Durme; Daniel Khashabi (ACL (1), 2025)

Optimizing Decomposition for Optimal Claim Verification. - Yining Lu; Noah Ziems; Hy Dang; Meng Jiang 001 (ACL (1), 2025)

Benchmarking Language Model Creativity: A Case Study on Code Generation. - Yining Lu; Dixuan Wang; Tianjian Li; Dongwei Jiang; Sanjeev Khudanpur; Meng Jiang 001; Daniel Khashabi (NAACL (Long Papers), 2025)