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Multi-hop Question Answering

Papers

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Showing 101–150 of 202 papers

TitleStatusHype
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning—0
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine—0
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering—0
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources—0
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering—0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability—0
Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering—0
Understanding Dataset Design Choices for Multi-hop Reasoning—0
VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering—0
Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models—0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
A Simple Yet Strong Pipeline for HotpotQA—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—0
Multi-hop Question Answering—0
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks—0
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA—0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering—0
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering—0
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models—0
Breadth First Reasoning Graph for Multi-hop Question Answering—0
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
Chain-of-Retrieval Augmented Generation—0
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering—0
Constraint-based Multi-hop Question Answering with Knowledge Graph—0
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs—0
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?—0
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?—0
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering—0
Iterative Hierarchical Attention for Answering Complex Questions over Long Documents—0
EvolveSearch: An Iterative Self-Evolving Search Agent—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Few-shot Multi-hop Question Answering over Knowledge Base—0
Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network—0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering—0
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering—0
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models—0
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation—0
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning—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