Papers with multi-hop Question Answering
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference (2022.tacl-1)
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| Challenge: | Existing explainable multi-hop inference models are regarded as black-boxes due to their ability to transfer linguistic and semantic information to downstream tasks, posing concerns about interpretability and transparency of their predictions. |
| Approach: | They propose a hybrid framework that integrates explicit constraints with neural architectures through differentiable convex optimization to answer and explain multi-hop questions in natural language. |
| Outcome: | The proposed framework improves performance on scientific and commonsense QA tasks while still providing structured explanations in support of its predictions. |
StepKE: Stepwise Knowledge Editing for Multi-Hop Question Answering (2025.findings-emnlp)
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| Challenge: | Existing knowledge editing methods overlook interplay with pre-existing knowledge, leading to inconsistent edit propagation. |
| Approach: | stepKE integrates edited and existing knowledge for coherent multi-hop reasoning . stepKE decomposes multi-step questions into sequential single-hop sub-questions . |
| Outcome: | Experiments show that StepKE generates more accurate and consistent responses than baselines. |