5 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
On the Efficiency-Safety Dilemma in Large Reasoning Models
Yifei Yang, Zouying Cao, Xingrui Wang +4
Large reasoning models (LRMs) incur high inference costs, often mitigated by efficiency techniques like quantization and pruning. However, the impact of these techniques on model a…
Head-wise Shareable Attention for Large Language Models
Zouying Cao, Yifei Yang, Hai Zhao
Large Language Models (LLMs) suffer from huge number of parameters, which restricts their deployment on edge devices. Weight sharing is one promising solution that encourages weigh…
LaCo: Large Language Model Pruning via Layer Collapse
Yifei Yang, Zouying Cao, Hai Zhao
Large language models (LLMs) based on transformer are witnessing a notable trend of size expansion, which brings considerable costs to both model training and inference. However, e…
AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models
Zouying Cao, Yifei Yang, XiaoJing Li +1
Large language models (LLMs) have gained broad applications across various domains but still struggle with hallucinations. Currently, hallucinations occur frequently in the generat…