1 citations · 1 across the 4 of their papers we have counts for
4 papers
STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models
Xin Yan, Aqiang Wang, Zhenglin Wan +2
Diffusion large language models (DLLMs) have recently emerged as a promising alternative to autoregressive LLMs by generating text through iterative masked denoising with bidirecti…
Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
Anjun Gao, Zhenglin Wan, Pingfu Chao +1
The integration of GNSS data into portable devices has led to the generation of vast amounts of trajectory data, which is crucial for applications such as map-matching. To tackle t…
Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
Cooper Lin, Yanting Zhang, Maohao Ran +7
E-commerce platforms and payment solution providers face increasingly sophisticated fraud schemes, ranging from identity theft and account takeovers to complex money laundering ope…
Crisis-Bench: Benchmarking Strategic Ambiguity and Reputation Management in Large Language Models
Cooper Lin, Maohao Ran, Yanting Zhang +6
Standard safety alignment optimizes Large Language Models (LLMs) for universal helpfulness and honesty, effectively instilling a rigid "Boy Scout" morality. While robust for genera…