Multi-hop Question Answering
56 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
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
The information stored in large language models (LLMs) falls out of date quickly, and retraining from scratch is often not an option.
End-to-End Beam Retrieval for Multi-Hop Question Answering
canghongjian/beam_retriever
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This approach models the multi-hop retrieval process in an end-to-end manner by jointly optimizing an encoder and two classification heads across all hops.
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
hotpotqa/hotpot
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EMNLP 2018
Existing question answering (QA) datasets fail to train QA systems to perform complex reasoning and provide explanations for answers.
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA
After adversarial training, the baseline's performance improves but is still limited on the adversarial evaluation.
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
allenai/missing-fact
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IJCNLP 2019
We propose jointly training a model to simultaneously fill this knowledge gap and compose it with the provided partial knowledge.
QASC: A Dataset for Question Answering via Sentence Composition
Guided by these annotations, we present a two-step approach to mitigate the retrieval challenges.
Learning from Explanations with Neural Execution Tree
While deep neural networks have achieved impressive performance on a range of NLP tasks, these data-hungry models heavily rely on labeled data, which restricts their applications in scenarios where data annotation is expensive.
Hierarchical Graph Network for Multi-hop Question Answering
yuwfan/HGN
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EMNLP 2020
In this paper, we present Hierarchical Graph Network (HGN) for multi-hop question answering.
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention
microsoft/Transformer-XH
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ICLR 2020
Transformers have achieved new heights modeling natural language as a sequence of text tokens.
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning
For a recent large-scale model (XLNet), we show that only 18 points out of its answer F1 score of 72 on HotpotQA are obtained through multifact reasoning, roughly the same as that of a simpler RNN baseline.
