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Multi-hop Question Answering

Papers

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Showing 1–50 of 202 papers

TitleStatusHype
Memento: Note-Taking for Your Future Self—0
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives—0
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language ModelsCode0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
EvolveSearch: An Iterative Self-Evolving Search Agent—0
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
MASKSEARCH: A Universal Pre-Training Framework to Enhance Agentic Search CapabilityCode2
SituatedThinker: Grounding LLM Reasoning with Real-World through Situated ThinkingCode0
Self-Critique Guided Iterative Reasoning for Multi-hop Question AnsweringCode0
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA—0
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text CorporaCode1
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering—0
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context PermutationCode0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question AnsweringCode1
VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering—0
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationCode1
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks—0
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
Retrieval-Augmented Generation with Hierarchical KnowledgeCode4
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA—0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability—0
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations—0
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation—0
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering—0
QuOTE: Question-Oriented Text Embeddings—0
K-Edit: Language Model Editing with Contextual Knowledge Awareness—0
Hybrid Graphs for Table-and-Text based Question Answering using LLMs—0
Chain-of-Retrieval Augmented Generation—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning—0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
Multimodal Multihop Source Retrieval for Web Question Answering—0
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation—0
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability—0
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question AnsweringCode1
Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QACode0
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism—0
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language ModelsCode1
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine—0
Large Language Models as a Tool for Mining Object Knowledge—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