Stefano Ermon
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126
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NLP×1
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2026
Mitigating Bias in Locally Constrained Decoding via Tractable Proposals
The paper proposes a novel probabilistic globally constrained decoding (P-GCD) method that efficiently constructs proposals for locally constrained decoding, significantly improving convergence speed and performance compared to existing approaches.
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cs.CLRecentJun 1, 2026
Mitigating Bias in Locally Constrained Decoding via Tractable Proposals
Meihua Dang, Linxin Song, Honghua Zhang, Jieyu Zhao +2 more
The paper proposes a novel probabilistic globally constrained decoding (P-GCD) method that efficiently constructs proposals for locally constrained decoding, significantly improving convergence speed…
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