AI Response Evaluator/LLM Evaluator
I compared and ranked AI-generated responses to ensure model performance and relevance. Attention to detail and guideline adherence were essential in accurately judging text outputs. This work supported the evaluation and improvement of natural language models. • Compared paired AI responses for ranking and quality assessment. • Applied rubric-based criteria to ensure objective scoring. • Reported ambiguous or unclear AI behavior for further analysis. • Contributed to datasets supporting supervised fine-tuning and benchmarking.