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A survey on measuring and mitigating reasoning shortcuts in machine reading comprehension
The issue of shortcut learning is widely known in NLP and has been an important research
focus in recent years. Unintended correlations in the data enable models to easily solve …
focus in recent years. Unintended correlations in the data enable models to easily solve …
Leveraging structured information for explainable multi-hop question answering and reasoning
Neural models, including large language models (LLMs), achieve superior performance on
multi-hop question-answering. To elicit reasoning capabilities from LLMs, recent works …
multi-hop question-answering. To elicit reasoning capabilities from LLMs, recent works …
End-to-end beam retrieval for multi-hop question answering
J Zhang, H Zhang, D Zhang, Y Liu, S Huang - arxiv preprint arxiv …, 2023 - arxiv.org
Multi-hop question answering (QA) involves finding multiple relevant passages and step-by-
step reasoning to answer complex questions, indicating a retrieve-and-read paradigm …
step reasoning to answer complex questions, indicating a retrieve-and-read paradigm …
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning
Multi-hop QA (MHQA) involves step-by-step reasoning to answer complex questions and
find multiple relevant supporting facts. However, Existing large language models'(LLMs) …
find multiple relevant supporting facts. However, Existing large language models'(LLMs) …
Decomposing Relational Triple Extraction with Large Language Models for Better Generalization on Unseen Data
B Meng, T Lin, D Yang - Pacific-Asia Conference on Knowledge Discovery …, 2024 - Springer
Despite the significant achievements of existing methods for relational triple extraction
(RTE), most of them only have weak generalization for the data unseen or partially seen in …
(RTE), most of them only have weak generalization for the data unseen or partially seen in …
A Relation Embedding Assistance Networks for Multi-hop Question Answering
S Jiao, Z Zhu, J Qi, F Xu, H Pei, W Wang… - ACM Transactions on …, 2024 - dl.acm.org
Multi-hop Knowledge Graph Question Answering aims at finding an entity to answer natural
language questions from knowledge graphs. When humans perform multi-hop reasoning …
language questions from knowledge graphs. When humans perform multi-hop reasoning …