SOTAVerified

Multi-hop Question Answering

Papers

Showing 125 of 202 papers

TitleStatusHype
Memento: Note-Taking for Your Future Self0
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs0
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives0
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 Economy0
EvolveSearch: An Iterative Self-Evolving Search Agent0
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
Self-Critique Guided Iterative Reasoning for Multi-hop Question AnsweringCode0
SituatedThinker: Grounding LLM Reasoning with Real-World through Situated ThinkingCode0
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA0
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text CorporaCode1
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering0
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 Answering0
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 Answering0
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks0
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning0
Retrieval-Augmented Generation with Hierarchical KnowledgeCode4
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Benchmark Results

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