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Knowledge Base Question Answering

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하위 태스크: 0
평가표: 10
보존된 평가 기록: 44

Knowledge Base Q&A is the task of answering questions from a knowledge base.

<span style="color:grey; opacity: 0.6">( Image credit: Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/CLARIN-PL/PUGG

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Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction

https://github.com/DevinJake/MARL

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Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning

https://github.com/DevinJake/MRL-CQA

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Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning

https://github.com/INK-USC/KagNet

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KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

https://github.com/RUCAIBox/Awesome-KBQA

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Complex Knowledge Base Question Answering: A Survey

https://github.com/RichardHGL/WSDM2021_NSM

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Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

https://github.com/SDM-TIB/Falcon2.0

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Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

https://github.com/UKPLab/starsem2018-entity-linking

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Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

https://github.com/ZJU-DCDLab/Triad

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Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering

https://github.com/albert-jin/rce-kgqa

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Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

https://github.com/bahuia/aqgnet

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Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base

https://github.com/bahuia/hgnet

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Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs

https://github.com/cdhx/qdtqa

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Question Decomposition Tree for Answering Complex Questions over Knowledge Bases

https://github.com/cods-gcs/kgqan

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A Universal Question-Answering Platform for Knowledge Graphs

https://github.com/daehwannam/candexpr-sp

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Semantic Parsing with Candidate Expressions for Knowledge Base Question Answering

https://github.com/dair-iitd/fusic-kbqa

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Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning

https://github.com/dair-iitd/retinaqa

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RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions

https://github.com/debayan/gett-qa

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GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering

https://github.com/dengyang17/MTQA

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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

https://github.com/dki-lab/GrailQA

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Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

https://github.com/dki-lab/arcaneqa

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ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering

https://github.com/dki-lab/pangu

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Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

https://github.com/dongguanting/dpa-rag

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Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

https://github.com/dongguanting/skp-for-kbqa

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Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA

https://github.com/facebookresearch/UniK-QA

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UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering

https://github.com/gaosx2000/sg_kbqa

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Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation

https://github.com/happen2me/subgraph-retrieval-toolkit

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SRTK: A Toolkit for Semantic-relevant Subgraph Retrieval

https://github.com/hugochan/BAMnet

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Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

https://github.com/jimxionggm/interactive-kbqa

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Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models

https://github.com/leezythu/flexkbqa

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FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

https://github.com/lhrlab/chatkbqa

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ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

https://github.com/lhrlab/kbqa-o1

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KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

https://github.com/ltl3a87/kb-binder

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Few-shot In-context Learning for Knowledge Base Question Answering

https://github.com/megagonlabs/cypherbench

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CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era

https://github.com/nnnoidea/stateful-KGQA

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Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language Models

https://github.com/pauldrm/discosqa

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Knowledge Base Question Answering for Space Debris Queries

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