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BELT (BELief-based Termination), which separates outcome prediction from stopping control from end-to-end controllers, and its accuracy-cost trade-offs are competitive with or better than those of end-to-end controllers.
Climate-ModernBERT is introduced, a family of climate-adapted encoder models obtained through continued pretraining of ModernBERT-Base on three climate corpora: academic climate text, climate-filtered web data, and synthetic climate documents.
On ClimateCheck claim-only and fine-tuned models outperform zero-shot LLM and top-performing AVeriTeC 2025 systems, highlighting that noisy evidence can degrade veracity prediction and replacing retrieved evidence with gold annotations improves veracity accuracy, confirming retrieval remains primary bottleneck.
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