4 citations · 7 across the 5 of their papers we have counts for
6 papers
Where the Model Changes Its Mind: Hindsight-Divergence Localization for Efficient Reinforcement Learning with Verifiable Rewards
Fanchao Chen, Hengyu Fu, Shivaram Venkataraman +1
Group-relative methods for reinforcement learning with verifiable rewards (RLVR) learn from differences in rollout outcomes. Independently sampling complete trajectories is costly…
From Good to Great: Improving Memory Tiering Performance Through Parameter Tuning
Konstantinos Kanellis, Sujay Yadalam, Fanchao Chen +2
Memory tiering systems achieve memory scaling by adding multiple tiers of memory wherein different tiers have different access latencies and bandwidth. For maximum performance, fre…
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
Dingheng Mo, Fanchao Chen, Siqiang Luo +1
LSM-trees are widely adopted as the storage backend of key-value stores. However, optimizing the system performance under dynamic workloads has not been sufficiently studied or eva…
Efficient and Compact Spreadsheet Formula Graphs
Dixin Tang, Fanchao Chen, Christopher De Leon +4
Spreadsheets are one of the most popular data analysis tools, wherein users can express computation as formulae alongside data. The ensuing dependencies are tracked as formula grap…
Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces
Dixin Tang, Alan Fekete, Indranil Gupta +1
Many tools empower analysts and data scientists to consume analysis results in a visual interface, such as a dashboard. When the underlying data changes, these results need to be u…
Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust
Haotian Chen, Lingwei Zhang, Yiran Liu +2
Legal Judgment Prediction (LJP), aiming to predict a judgment based on fact descriptions according to rule of law, serves as legal assistance to mitigate the great work burden of l…