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Home/Authors/Massoud Pedram

Massoud Pedram

1 indexed paper

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26

Top categories

NLP×1AI×1

Frequent co-authors

Arya Fayyazi1×
Mehdi Kamal1×

Research Timeline

2026
COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models

COFT is a training-free decoding method that significantly reduces societal biases in large language model chain-of-thought reasoning by applying token-level fairness control at decode time.

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Papers

cs.CLcs.AIRecentMay 28, 2026

COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models

Arya Fayyazi, Mehdi Kamal, Massoud Pedram

COFT is a training-free decoding method that significantly reduces societal biases in large language model chain-of-thought reasoning by applying token-level fairness control at decode time.

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