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cs.CL2026
The Role of Ambiguity in Error Prediction via Uncertainty Quantification
Ieva Raminta Staliūnaitė, James Bishop, Andreas Vlachos
The task of Error Prediction, namely predicting whether a model output is correct, is commonly tackled with Uncertainty Quantification (UQ). However, while uncertainty metrics capt…
cs.CL2026
Demystifying Multi-Agent Debate: The Role of Confidence and Diversity
Xiaochen Zhu, Caiqi Zhang, Yizhou Chi +3
Multi-agent debate (MAD) is widely used to improve large language model (LLM) performance through test-time scaling, yet recent work shows that vanilla MAD often underperforms simp…