SOTAVerified

Multi-hop Question Answering

Papers

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Showing 76–100 of 202 papers

TitleStatusHype
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—0
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top—0
Iterative Hierarchical Attention for Answering Complex Questions over Long Documents—0
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering—0
K-Edit: Language Model Editing with Contextual Knowledge Awareness—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes—0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
Is Graph Structure Necessary for Multi-hop Question Answering?—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
Breadth First Reasoning Graph for Multi-hop Question Answering—0
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering—0
A Simple Yet Strong Pipeline for HotpotQA—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models—0
Large Language Models as a Tool for Mining Object Knowledge—0
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games—0
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks—0
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation—0
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?—0
Hybrid Graphs for Table-and-Text based Question Answering using LLMs—0
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?—0
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All datasetsConcurrentQAMuSiQue-Ans

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Multi-hop Dense Passage Retriever (MDR)Answer F156.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Beam RetrievalAn69.2—Unverified