Papers with divergent reasoning
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension (P19-1)
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| Challenge: | Existing models for multi-hop reading comprehension only require a single-hop reasoning, meaning that the evidence needed to answer the question is scattered in a set of supporting documents. |
| Approach: | They propose an interpretable 3-module system called Explore-Propose-Assemble reader (EPAr) that explores and connects relevant information from multiple documents in order to answer a question about the context. |
| Outcome: | The proposed model approximates coarse-to-fine-grained comprehension behavior of human readers when facing multiple long documents. |
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning (2025.emnlp-main)
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| Challenge: | Understanding the complex event ontology, extracting domain-specific triggers from the passage, and structuring them appropriately overloads and limits the utility of Large Language Models (LLMs). |
| Approach: | They propose a divergent-convergent reasoning framework that decouples the task of ED using Dreamer and Grounder. |
| Outcome: | The proposed framework outperforms baselines on six datasets across five domains and nine LLMs, achieving 4–7% average gains over the best baseline. |