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Multi-hop Question Answering

Papers

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Showing 51–75 of 202 papers

TitleStatusHype
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-GenerationCode1
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringCode1
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question AnsweringCode1
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge GraphCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text CorporaCode1
Grounded Multi-Hop VideoQA in Long-Form Egocentric VideosCode1
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language ModelsCode1
MuSiQue: Multihop Questions via Single-hop Question CompositionCode1
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual DataCode1
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop ReasoningCode1
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models—0
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering—0
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks—0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering—0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network—0
Few-shot Multi-hop Question Answering over Knowledge Base—0
Multi-hop Question Answering—0
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
Hybrid Graphs for Table-and-Text based Question Answering using LLMs—0
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks—0
Chain-of-Retrieval Augmented Generation—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