SOTAVerified

Multi-hop Question Answering

Papers

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Showing 151–200 of 202 papers

TitleStatusHype
QuOTE: Question-Oriented Text Embeddings—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA—0
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering—0
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning—0
Reinforced Multi-task Approach for Multi-hop Question Generation—0
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach—0
Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability—0
Robustifying Multi-hop QA through Pseudo-Evidentiality Training—0
SEAM: A Stochastic Benchmark for Multi-Document Tasks—0
Semantic Sentence Composition Reasoning for Multi-Hop Question Answering—0
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
In-Context Principle Learning from MistakesCode0
Hybrid Autoregressive Inference for Scalable Multi-hop Explanation RegenerationCode0
Repurposing Entailment for Multi-Hop Question Answering TasksCode0
Hierarchical Graph Network for Multi-hop Question AnsweringCode0
Self-Critique Guided Iterative Reasoning for Multi-hop Question AnsweringCode0
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge GraphsCode0
Uncertainty Guided Global Memory Improves Multi-Hop Question AnsweringCode0
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question AnsweringCode0
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question AnsweringCode0
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question AnsweringCode0
Multi-hop Question Answering via Reasoning ChainsCode0
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
QASC: A Dataset for Question Answering via Sentence CompositionCode0
Commonsense for Generative Multi-Hop Question Answering TasksCode0
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-TurboCode0
Single Sequence Prediction over Reasoning Graphs for Multi-hop QACode0
SituatedThinker: Grounding LLM Reasoning with Real-World through Situated ThinkingCode0
Cognitive Graph for Multi-Hop Reading Comprehension at ScaleCode0
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge GraphsCode0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected ReasoningCode0
Faithful Chain-of-Thought ReasoningCode0
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context PermutationCode0
Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QACode0
Co-occurrence is not Factual Association in Language ModelsCode0
Rethinking Label Smoothing on Multi-hop Question AnsweringCode0
Leveraging Structured Information for Explainable Multi-hop Question Answering and ReasoningCode0
Learning from Explanations with Neural Execution TreeCode0
Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question AnsweringCode0
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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