Papers with stepwise methods
Generating Natural Language Proofs with Verifier-Guided Search (2022.emnlp-main)
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| Challenge: | Existing stepwise methods struggle to generate valid proof steps based on the hypothesis . instead, they generate invalid steps . |
| Approach: | They propose a stepwise method which generates relevant steps conditioning on the hypothesis. |
| Outcome: | The proposed method improves correctness of predicted proofs from 27.7% to 33.3% on EntailmentBank and RuleTaker. |
FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering (2024.findings-acl)
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| Challenge: | Existing methods for generating a entailment tree exhibit the reasoning chains from knowledge facts to predicted answers, but they have large fact search spaces and error accumulation problems resulting in the generation of invalid steps. |
| Approach: | They propose a Fact-Retrieval and Verification Augmented bidirectional entailment tree generation method that contains two systems. |
| Outcome: | The proposed method outperforms existing models and achieves state-of-the-art performance in fact selection and structural correctness. |