13 citations · 31 across the 55 of their papers we have counts for
5 papers · 1 filter
ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification
Jianzong Wang, Chuhang Liu, Botao Zhao +6
Large language models (LLMs) have achieved strong performance across a broad range of classification settings, yet the reliability of their predictions remains a major obstacle to…
MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs
Wei Tao, Xiaoyang Qu, Kai Lu +3
When applying pre-trained large language models (LLMs) to address anomaly detection tasks, the multivariate time series (MTS) modality of anomaly detection does not align with the…
Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference
Wei Tao, Bin Zhang, Xiaoyang Qu +2
Recently, large language models (LLMs) have been able to handle longer and longer contexts. However, a context that is too long may cause intolerant inference latency and GPU memor…
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
Chendong Zhao, Jianzong Wang, Wen qi Wei +3
The Transformer architecture model, based on self-attention and multi-head attention, has achieved remarkable success in offline end-to-end Automatic Speech Recognition (ASR). Howe…
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Denghao Li, Yuqiao Zeng, Jianzong Wang +5
Buddhism is an influential religion with a long-standing history and profound philosophy. Nowadays, more and more people worldwide aspire to learn the essence of Buddhism, attachin…