evidence-routing

BAER introduces a backbone-adaptive evidence routing method for robust pairwise LLM judging, achieving higher accuracy across benchmarks by dynamically selecting evidence mechanisms per condition.

The Bairong system presents a dynamic question-aware evidence routing approach for multilingual conversational spoken question answering, achieving improved performance by effectively integrating transcript and audio evidence in the MLC-SLM 2026 Challenge.