arXiv cs.CL
· Papers
Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement
arXiv:2606.27226v1 Announce Type: cross Abstract: Evaluating LLM outputs remains a major bottleneck in NLP: human evaluation is expensive and slow, lexical metrics correlate poorly with human judgments on open-ended generation, and holistic LLM judges often produce opaque scores that are hard to debug. We propose BINEV