SOTAVerified

Multi-hop Question Answering

Papers

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Showing 51–100 of 202 papers

TitleStatusHype
Large Language Models as a Tool for Mining Object Knowledge—0
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question AnsweringCode0
Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models—0
Co-occurrence is not Factual Association in Language ModelsCode0
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model ReasoningCode2
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language—0
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
Grounded Multi-Hop VideoQA in Long-Form Egocentric VideosCode1
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge GraphsCode0
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question AnsweringCode1
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach—0
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?—0
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
Meta-prompting Optimized Retrieval-augmented Generation—0
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering—0
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering—0
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering—0
SEAM: A Stochastic Benchmark for Multi-Document Tasks—0
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering—0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs—0
Husky: A Unified, Open-Source Language Agent for Multi-Step ReasoningCode3
Re-ReST: Reflection-Reinforced Self-Training for Language AgentsCode1
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top—0
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-TurboCode0
Multi-hop Question Answering over Knowledge Graphs using Large Language Models—0
Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering—0
Multi-hop Question Answering under Temporal Knowledge Editing—0
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question AnsweringCode0
Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
Question Calibration and Multi-Hop Modeling for Temporal Question Answering—0
Cofca: A Step-Wise Counterfactual Multi-hop QA benchmark—0
LongAgent: Scaling Language Models to 128k Context through Multi-Agent CollaborationCode1
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as AgentsCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning—0
In-Context Principle Learning from MistakesCode0
DeepEdit: Knowledge Editing as Decoding with ConstraintsCode1
PokeMQA: Programmable knowledge editing for Multi-hop Question AnsweringCode1
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge GraphsCode0
Uncertainty Guided Global Memory Improves Multi-Hop Question AnsweringCode0
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering—0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model 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