Multi-hop Question Answering
57 papers with code • 2 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Multi-hop Question Answering
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Libraries
Use these libraries to find Multi-hop Question Answering models and implementations
SPARTQA -
MuSiQue-Ans
ConcurrentQA Benchmark
MultiQ
Most implemented papers
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering
wwxu21/AMR-SG
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Findings (ACL) 2021
Our framework contains three new ideas: (a) {\tt AMR-SG}, an AMR-based Semantic Graph, constructed by candidate fact AMRs to uncover any hop relations among question, answer and multiple facts.
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering
In simple open-domain question answering (QA), dense retrieval has become one of the standard approaches for retrieving the relevant passages to infer an answer.
Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration
Regenerating natural language explanations in the scientific domain has been proposed as a benchmark to evaluate complex multi-hop and explainable inference.
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
Knowledge Graph Question Answering (KGQA) aims to answer user-questions from a knowledge graph (KG) by identifying the reasoning relations between topic entity and answer.
Teaching Humans When To Defer to a Classifier via Exemplars
clinicalml/teaching-to-understand-ai
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For this collaboration to perform properly, the human decision maker must have a mental model of when and when not to rely on the agent.
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation
Multi-hop question generation (MQG) aims to generate complex questions which require reasoning over multiple pieces of information of the input passage.
Reasoning over Public and Private Data in Retrieval-Based Systems
facebookresearch/concurrentqa
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We first define the PUBLIC-PRIVATE AUTOREGRESSIVE INFORMATION RETRIEVAL (PAIR) privacy framework for the novel retrieval setting over multiple privacy scopes.
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering
wangsygit/stepwiseqa
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COLING 2022
In this paper, we propose an interpretable stepwise reasoning framework to incorporate both single-hop supporting sentence identification and single-hop question generation at each intermediate step, and utilize the inference of the current hop for the next until reasoning out the final result.
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
rucaibox/unikgqa
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Multi-hop Question Answering over Knowledge Graph~(KGQA) aims to find the answer entities that are multiple hops away from the topic entities mentioned in a natural language question on a large-scale Knowledge Graph (KG).
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation
HITsz-TMG/SKURG
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Moreover, the pipelined approaches of retrieval and generation might result in poor generation performance when retrieval performance is low.
