10 citations · 14 across the 7 of their papers we have counts for
7 papers
OutlierTune: Efficient Channel-Wise Quantization for Large Language Models
Jinguang Wang, Yuexi Yin, Haifeng Sun +5
Quantizing the activations of large language models (LLMs) has been a significant challenge due to the presence of structured outliers. Most existing methods focus on the per-token…
Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication Networks
Linghui Ge, Xiao Liang, Hua Zhang +3
In contrast to terrestrial wireless networks, dynamic Unmanned Aerial Vehicle (UAV) networks are susceptible to unexpected link failures arising from UAV breakdowns or the depletio…
Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
Yuanyi Wang, Haifeng Sun, Jiabo Wang +5
In Multi-Modal Knowledge Graphs (MMKGs), Multi-Modal Entity Alignment (MMEA) is crucial for identifying identical entities across diverse modal attributes. However, semantic incons…
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
Yuanyi Wang, Haifeng Sun, Jingyu Wang +3
Entity alignment (EA), a pivotal process in integrating multi-source Knowledge Graphs (KGs), seeks to identify equivalent entity pairs across these graphs. Most existing approaches…
AdapINT: A Flexible and Adaptive In-Band Network Telemetry System Based on Deep Reinforcement Learning
Penghui Zhang, Hua Zhang, Yibo Pi +3
In-band Network Telemetry (INT) has emerged as a promising network measurement technology. However, existing network telemetry systems lack the flexibility to meet diverse telemetr…
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Huazheng Wang, Daixuan Cheng, Haifeng Sun +5
Transformer-based pretrained language models (PLMs) have achieved great success in modern NLP. An important advantage of PLMs is good out-of-distribution (OOD) robustness. Recently…