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#decoding-methods News & Analysis

3 articles tagged with #decoding-methods. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles
AIBullisharXiv – CS AI · Jun 17/10
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COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models

Researchers introduce COFT, a training-free decoding method that reduces bias in large language models' chain-of-thought reasoning by 30-55% through counterfactual prompting and conformal calibration. The approach preserves task performance while adding minimal computational overhead, offering a practical solution for deploying fairer AI systems without model retraining.

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AINeutralarXiv – CS AI · Apr 106/10
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Consistency-Guided Decoding with Proof-Driven Disambiguation for Three-Way Logical Question Answering

Researchers present CGD-PD, a test-time decoding method that improves large language models' performance on three-way logical question answering (True/False/Unknown) by enforcing negation consistency and resolving epistemic uncertainty through targeted entailment probes. The approach achieves up to 16% relative accuracy improvements on the FOLIO benchmark while reducing spurious Unknown predictions.