2 papers have been accepted to VLDB 2026!

We are pleased to share that two papers from our lab have been accepted to Proceedings of the 52nd International Conference on Very Large Data Bases (VLDB 2026):

• Revisiting Filtered ANN Benchmarks: A Hardness-Controlled Benchmark Generator for Realistic Evaluation — Mintaek Lim*, Dogeun Kim, Minwoo Kim, Jaeyoung Do^
• Unified Static–Dynamic Pruning for Efficient LLM Inference — Jinhyeok Kim*, Yejoon Lee, Jaeyoung Do^

Congratulations to all the authors!