3 papers
cs.CV2026
Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime
Haiyu Yang, Sumit Sharma, Enhong Liu +1
Automated behavior classification is essential for precision livestock farming but faces challenges of high computational costs and limited labeled data. This study systematically…
cs.CV2026
From Manual Observation to Automated Monitoring: Space Allowance Effects on Play Behaviour in Group-Housed Dairy Calves
Haiyu Yang, Heidi Lesscher, Enhong Liu +1
Play behaviour serves as a positive welfare indicator in dairy calves, yet the influence of space allowance under commercial conditions remains poorly characterized, particularly a…
cs.AI2025
Evaluating Small Language Models for Agentic On-Farm Decision Support Systems
Enhong Liu, Haiyu Yang, Miel Hostens
Large Language Models (LLM) hold potential to support dairy scholars and farmers by supporting decision-making and broadening access to knowledge for stakeholders with limited tech…