Papers with Code 아카이브
Multi-hop Question Answering
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 2
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy
EvolveSearch: An Iterative Self-Evolving Search Agent
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
MASKSEARCH: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge Bases
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
Retrieval-Augmented Generation with Hierarchical Knowledge
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
QuOTE: Question-Oriented Text Embeddings
K-Edit: Language Model Editing with Contextual Knowledge Awareness
Hybrid Graphs for Table-and-Text based Question Answering using LLMs
Chain-of-Retrieval Augmented Generation
A Method for Multi-Hop Question Answering on Persian Knowledge Graph
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.