6 papers
Characterize LSM-tree Compaction Performance via On-Device LLM Inference
Jiabiao Ding, Yina Lv, Qiao Li +2
Modern key-value storage engines built on Log-Structured Merge-trees (LSM-trees), such as RocksDB and LevelDB, rely heavily on the performance of their compaction operations, which…
GRAB: An LLM-Inspired Sequence-First Click-Through Rate Prediction Modeling Paradigm
Shaopeng Chen, Chuyue Xie, Huimin Ren +11
Traditional Deep Learning Recommendation Models (DLRMs) face increasing bottlenecks in performance and efficiency, often struggling with generalization and long-sequence modeling.…
C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
Jinren Ding, Xuejian Xu, Shen Jiang +3
Decision Transformer (DT) shows promise for generative auto-bidding by capturing temporal dependencies, but suffers from two critical limitations: insufficient cross-correlation mo…
Simple Role Assignment is Extraordinarily Effective for Safety Alignment
Zhou Ziheng, Jiakun Ding, Zhaowei Zhang +6
Principle-based alignment often lacks context sensitivity and completeness. Grounded in Theory of Mind, we propose role conditioning as a compact alternative: social roles (e.g., m…
UMind-VL: A Generalist Ultrasound Vision-Language Model for Unified Grounded Perception and Comprehensive Interpretation
Dengbo Chen, Ziwei Zhao, Kexin Zhang +9
Despite significant strides in medical foundation models, the ultrasound domain lacks a comprehensive solution capable of bridging low-level Ultrasound Grounded Perception (e.g., s…
Steerable Invariant Beamformer Using a Differential Line Array of Omnidirectional and Directional Microphones with Null Constraints
Yankai Zhang, Jiafeng Ding, Jingjing Ning +1
Line differential microphone arrays have attracted attention for their ability to achieve frequency-invariant beampatterns and high directivity. Recently, the Jacobi-Anger expansio…