Enhancing Large Language Models with Reliable Knowledge Graphs | Paper Citation Record

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This paper cites IEEE Transactions on Neural Networks and Learning Systems , 2021.

Enhancing Large Language Models with Reliable Knowledge Graphs IEEE Transactions on Neural Networks and Learning Systems , 2021

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Enhancing Large Language Models with Reliable Knowledge Graphs Unresolved cited work

Reference 2

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This paper cites Publicly available clinical bert embeddings.

Enhancing Large Language Models with Reliable Knowledge Graphs Publicly available clinical bert embeddings

Reference 3

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This paper cites The claude 3 model family: Opus, sonnet, haiku.

Enhancing Large Language Models with Reliable Knowledge Graphs The claude 3 model family: Opus, sonnet, haiku

Reference 4

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This paper cites What is normal, what is strange, and what is missing in a knowledge graph: Unified characterization via inductive summarization.

Enhancing Large Language Models with Reliable Knowledge Graphs What is normal, what is strange, and what is missing in a knowledge graph: Unified characterization via inductive summarization

Reference 5

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This paper cites The Unified Medical Language System (UMLS): integrating biomedical terminology.

Enhancing Large Language Models with Reliable Knowledge Graphs The Unified Medical Language System (UMLS): integrating biomedical terminology

Reference 6

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This paper cites Freebase: a collaboratively created graph database for structuring human knowledge.

Enhancing Large Language Models with Reliable Knowledge Graphs Freebase: a collaboratively created graph database for structuring human knowledge

Reference 7

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This paper cites Bollacker, Robert P.

Enhancing Large Language Models with Reliable Knowledge Graphs Bollacker, Robert P

Reference 8

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This paper cites Translating embeddings for modeling multi-relational data.

Enhancing Large Language Models with Reliable Knowledge Graphs Translating embeddings for modeling multi-relational data

Reference 9

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This paper cites Translating embeddings for modeling multi-relational data.

Enhancing Large Language Models with Reliable Knowledge Graphs Translating embeddings for modeling multi-relational data

Reference 10

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Enhancing Large Language Models with Reliable Knowledge Graphs Unresolved cited work

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Enhancing Large Language Models with Reliable Knowledge Graphs Hruschka Jr., and Tom M

Reference 12

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This paper cites Neural legal judgment prediction in english.

Enhancing Large Language Models with Reliable Knowledge Graphs Neural legal judgment prediction in english

Reference 13

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This paper cites LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.

Enhancing Large Language Models with Reliable Knowledge Graphs LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Reference 14

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This paper cites Novelty Detection via Contrastive Learning with Negative Data Augmentation.

Enhancing Large Language Models with Reliable Knowledge Graphs Novelty Detection via Contrastive Learning with Negative Data Augmentation

Reference 15

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This paper cites Neighbor enhanced graph convolutional networks for node classification and recommendation.

Enhancing Large Language Models with Reliable Knowledge Graphs Neighbor enhanced graph convolutional networks for node classification and recommendation

Reference 16

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This paper cites Label-aware graph convolutional networks.

Enhancing Large Language Models with Reliable Knowledge Graphs Label-aware graph convolutional networks

Reference 17

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Enhancing Large Language Models with Reliable Knowledge Graphs Unresolved cited work

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This paper cites Noigan: Noise aware knowledge graph embedding with gan.

Enhancing Large Language Models with Reliable Knowledge Graphs Noigan: Noise aware knowledge graph embedding with gan

Reference 19

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This paper cites Rule-based graph repairing: Semantic and efficient repairing methods.

Enhancing Large Language Models with Reliable Knowledge Graphs Rule-based graph repairing: Semantic and efficient repairing methods

Reference 20

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This paper cites Palm: Scaling language modeling with pathways.

Enhancing Large Language Models with Reliable Knowledge Graphs Palm: Scaling language modeling with pathways

Reference 21

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This paper cites From ‘f’to ‘a’on the ny regents science exams: An overview of the aristo project.

Enhancing Large Language Models with Reliable Knowledge Graphs From ‘f’to ‘a’on the ny regents science exams: An overview of the aristo project

Reference 22

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This paper cites Hierarchy-aware multi-hop question answering over knowledge graphs.

Enhancing Large Language Models with Reliable Knowledge Graphs Hierarchy-aware multi-hop question answering over knowledge graphs

Reference 23

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This paper cites Active ensemble learning for knowledge graph error detection.

Enhancing Large Language Models with Reliable Knowledge Graphs Active ensemble learning for knowledge graph error detection

Reference 24

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This paper cites Cost-efficient Knowledge-based Question Answering with Large Language Models.

Enhancing Large Language Models with Reliable Knowledge Graphs Cost-efficient Knowledge-based Question Answering with Large Language Models

Reference 25

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This paper cites Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering.

Enhancing Large Language Models with Reliable Knowledge Graphs Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering

Reference 26

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This paper cites Knowledge vault: A web-scale approach to probabilistic knowledge fusion.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge vault: A web-scale approach to probabilistic knowledge fusion

Reference 27

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This paper cites Snomed-ct: The advanced terminology and coding system for ehealth.

Enhancing Large Language Models with Reliable Knowledge Graphs Snomed-ct: The advanced terminology and coding system for ehealth

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This paper cites Scalable multi-hop relational reasoning for knowledge-aware question answering.

Enhancing Large Language Models with Reliable Knowledge Graphs Scalable multi-hop relational reasoning for knowledge-aware question answering

Reference 29

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Enhancing Large Language Models with Reliable Knowledge Graphs Suchanek

Reference 30

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This paper cites KGClean: An Embedding Powered Knowledge Graph Cleaning Framework.

Enhancing Large Language Models with Reliable Knowledge Graphs KGClean: An Embedding Powered Knowledge Graph Cleaning Framework

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This paper cites Openagi: When llm meets domain experts.

Enhancing Large Language Models with Reliable Knowledge Graphs Openagi: When llm meets domain experts

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This paper cites Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting.

Enhancing Large Language Models with Reliable Knowledge Graphs Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting

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Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge graph embedding with iterative guidance from soft rules

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Enhancing Large Language Models with Reliable Knowledge Graphs Don’t stop pretraining: Adapt language models to domains and tasks

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Enhancing Large Language Models with Reliable Knowledge Graphs Contrastive multi-view representation learning on graphs

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Enhancing Large Language Models with Reliable Knowledge Graphs Vandalism detection in wikidata

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Enhancing Large Language Models with Reliable Knowledge Graphs H \' e naff

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Enhancing Large Language Models with Reliable Knowledge Graphs Devon Hjelm, Alex Fedorov, Samuel Lavoie - Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, and Yoshua Bengio

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Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 40

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Enhancing Large Language Models with Reliable Knowledge Graphs Next-generation database interfaces: A survey of llm-based text-to-sql

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Enhancing Large Language Models with Reliable Knowledge Graphs A survey of knowledge enhanced pre-trained language models

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Enhancing Large Language Models with Reliable Knowledge Graphs Aligning distillation for cold-start item recommendation

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Enhancing Large Language Models with Reliable Knowledge Graphs Large Language Model Simulator for Cold-Start Recommendation

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Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge graph embedding based question answering

Reference 45

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Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge graph embedding based question answering

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Enhancing Large Language Models with Reliable Knowledge Graphs Mvp-tuning: Multi-view knowledge retrieval with prompt tuning for commonsense reasoning

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Enhancing Large Language Models with Reliable Knowledge Graphs Clues before answers: Generation-enhanced multiple-choice qa

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Enhancing Large Language Models with Reliable Knowledge Graphs Triple trustworthiness measurement for knowledge graph

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Enhancing Large Language Models with Reliable Knowledge Graphs Uni KGQA : Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph

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Enhancing Large Language Models with Reliable Knowledge Graphs What disease does this patient have? a large-scale open domain question answering dataset from medical exams

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Enhancing Large Language Models with Reliable Knowledge Graphs Bert: Pre-training of deep bidirectional transformers for language understanding

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Enhancing Large Language Models with Reliable Knowledge Graphs UnifiedQA : Crossing format boundaries with a single qa system

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Enhancing Large Language Models with Reliable Knowledge Graphs Unifiedqa: Crossing format boundaries with a single qa system

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Enhancing Large Language Models with Reliable Knowledge Graphs Kipf, Elise van der Pol, and Max Welling

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Enhancing Large Language Models with Reliable Knowledge Graphs Patent classification by fine-tuning bert language model

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Enhancing Large Language Models with Reliable Knowledge Graphs Biobert: a pre-trained biomedical language representation model for biomedical text mining

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This paper cites Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, S \" o ren Auer, and Christian Bizer.

Enhancing Large Language Models with Reliable Knowledge Graphs Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, S \" o ren Auer, and Christian Bizer

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Enhancing Large Language Models with Reliable Knowledge Graphs Retrieval-augmented generation for knowledge-intensive nlp tasks

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Enhancing Large Language Models with Reliable Knowledge Graphs A Survey on Retrieval-Augmented Text Generation

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Enhancing Large Language Models with Reliable Knowledge Graphs Kcube: A knowledge graph university curriculum framework for student advising and career planning

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This paper cites Constructing low-redundant and high-accuracy knowledge graphs for education.

Enhancing Large Language Models with Reliable Knowledge Graphs Constructing low-redundant and high-accuracy knowledge graphs for education

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Observation 0461e6dd-09c3-431b-8069-6201e976969d · outbound

This paper cites Learning entity and relation embeddings for knowledge graph completion.

Enhancing Large Language Models with Reliable Knowledge Graphs Learning entity and relation embeddings for knowledge graph completion

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:57.995665Z

Source-reported events for the cited work

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Observation 5d24e07c-4c14-4e47-b70a-c14c7bcd9b4d · outbound

This paper cites Self-alignment pretraining for biomedical entity representations.

Enhancing Large Language Models with Reliable Knowledge Graphs Self-alignment pretraining for biomedical entity representations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.126560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f05d315-4423-483f-b25f-562ff3ddbb2e · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.

Enhancing Large Language Models with Reliable Knowledge Graphs Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.117430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87c5550e-f4ae-45b7-b9e2-6675af29f218 · outbound

This paper cites K-bert: Enabling language representation with knowledge graph.

Enhancing Large Language Models with Reliable Knowledge Graphs K-bert: Enabling language representation with knowledge graph

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.108830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2972d7e9-44f9-4f6c-bbf9-7603d2e9c6b0 · outbound

This paper cites Error detection on knowledge graphs with triple embedding.

Enhancing Large Language Models with Reliable Knowledge Graphs Error detection on knowledge graphs with triple embedding

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.099956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e26a3d6a-f27d-4496-bfba-fdd58063f735 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Enhancing Large Language Models with Reliable Knowledge Graphs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.010837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2f765a-f5d3-498a-a081-d8dde967b789 · outbound

This paper cites Reasoning on graphs: Faithful and interpretable large language model reasoning.

Enhancing Large Language Models with Reliable Knowledge Graphs Reasoning on graphs: Faithful and interpretable large language model reasoning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.092429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6a20bb9-f476-461a-8e98-90dfa8d8be97 · outbound

This paper cites Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.

Enhancing Large Language Models with Reliable Knowledge Graphs Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.017883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756e5dc9-a655-408e-a6bb-207e1eff3c58 · outbound

This paper cites Suchanek.

Enhancing Large Language Models with Reliable Knowledge Graphs Suchanek

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.084715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e715a233-2fd6-4a72-8118-ec09eafbadca · outbound

This paper cites Detection of relation assertion errors in knowledge graphs.

Enhancing Large Language Models with Reliable Knowledge Graphs Detection of relation assertion errors in knowledge graphs

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.076583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5519585-5ebe-40e8-b704-2c0e870aa1a8 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Enhancing Large Language Models with Reliable Knowledge Graphs Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.068563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ea04bcb-6d72-4a72-8e67-b4edb44daaec · outbound

This paper cites Never-ending learning.

Enhancing Large Language Models with Reliable Knowledge Graphs Never-ending learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.059693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71a28be2-3f87-45bd-bf17-1105a7d5de8a · outbound

This paper cites Learning attention-based embeddings for relation prediction in knowledge graphs.

Enhancing Large Language Models with Reliable Knowledge Graphs Learning attention-based embeddings for relation prediction in knowledge graphs

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.050251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 315f992e-3a2e-4e9b-9743-7d58b1e2c359 · outbound

This paper cites Pattern-aware and noise-resilient embedding models.

Enhancing Large Language Models with Reliable Knowledge Graphs Pattern-aware and noise-resilient embedding models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.041468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9feabc4d-4f3e-49ad-b61c-4b77ce859d44 · outbound

This paper cites GPT-4 Technical Report.

Enhancing Large Language Models with Reliable Knowledge Graphs GPT-4 Technical Report

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.039341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab8dd0c-035a-4e5e-8b2f-4ec47135589e · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap.

Enhancing Large Language Models with Reliable Knowledge Graphs Unifying large language models and knowledge graphs: A roadmap

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.032490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3afeb876-f45c-4a78-a705-e5124ec17bc3 · outbound

This paper cites Knowledge graph refinement: A survey of approaches and evaluation methods.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge graph refinement: A survey of approaches and evaluation methods

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.024081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5515dbf3-40b8-4631-a263-cb96415ffe78 · outbound

This paper cites Serving dbpedia with DOLCE - more than just adding a cherry on top.

Enhancing Large Language Models with Reliable Knowledge Graphs Serving dbpedia with DOLCE - more than just adding a cherry on top

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.014685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea0d01da-b541-4064-8275-8264df8ded9d · outbound

This paper cites Knowledge enhanced contextual word representations.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge enhanced contextual word representations

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:59.006280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 484fb964-77b0-4f8e-8fc8-da77933f6f47 · outbound

This paper cites Modeling relational data with graph convolutional networks.

Enhancing Large Language Models with Reliable Knowledge Graphs Modeling relational data with graph convolutional networks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.997971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f3632ea-28e1-4748-808b-d6238c9675ad · outbound

This paper cites Confidence-aware negative sampling method for noisy knowledge graph embedding.

Enhancing Large Language Models with Reliable Knowledge Graphs Confidence-aware negative sampling method for noisy knowledge graph embedding

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.989666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a509486c-04ae-4e0f-a520-354e3fd0c110 · outbound

This paper cites Differentiable neuro-symbolic reasoning on large-scale knowledge graphs.

Enhancing Large Language Models with Reliable Knowledge Graphs Differentiable neuro-symbolic reasoning on large-scale knowledge graphs

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.981771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69bad74f-85cf-45fb-82f1-cafc82e669a3 · outbound

This paper cites Conceptnet 5.5: An open multilingual graph of general knowledge.

Enhancing Large Language Models with Reliable Knowledge Graphs Conceptnet 5.5: An open multilingual graph of general knowledge

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.974264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b856a0ae-19b8-4b88-b6c6-750416fe356f · outbound

This paper cites ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Enhancing Large Language Models with Reliable Knowledge Graphs ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.066464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b69dab3-3f62-4905-8d7e-75ff268a8171 · outbound

This paper cites Jointlk: Joint reasoning with language models and knowledge graphs for commonsense question answering.

Enhancing Large Language Models with Reliable Knowledge Graphs Jointlk: Joint reasoning with language models and knowledge graphs for commonsense question answering

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.966164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8cb6086-2dc8-493c-b1f4-aad392b7a18c · outbound

This paper cites RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

Enhancing Large Language Models with Reliable Knowledge Graphs RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.074133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94dd17ea-0a2e-4566-af63-eee539e2e07b · outbound

This paper cites Csi: Novelty detection via contrastive learning on distributionally shifted instances.

Enhancing Large Language Models with Reliable Knowledge Graphs Csi: Novelty detection via contrastive learning on distributionally shifted instances

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.957094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b5c09b2-1e89-4d33-89fc-39cea615b93d · outbound

This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

Enhancing Large Language Models with Reliable Knowledge Graphs Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.947592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b9e2c02-21e5-45c3-ba47-9a5b741e8bd9 · outbound

This paper cites Completeness-aware rule learning from knowledge graphs.

Enhancing Large Language Models with Reliable Knowledge Graphs Completeness-aware rule learning from knowledge graphs

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.939652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f6b24ac-6dd9-48ee-8e55-c4fb5d097229 · outbound

This paper cites Grapeqa: Graph augmentation and pruning to enhance question-answering.

Enhancing Large Language Models with Reliable Knowledge Graphs Grapeqa: Graph augmentation and pruning to enhance question-answering

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.931399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45f298ca-4f75-475f-a71b-29291168e66b · outbound

This paper cites Inductive relation prediction by subgraph reasoning.

Enhancing Large Language Models with Reliable Knowledge Graphs Inductive relation prediction by subgraph reasoning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.923232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d14fca4-3a38-4dfa-95f0-2ef2c4950d17 · outbound

This paper cites Complex embeddings for simple link prediction.

Enhancing Large Language Models with Reliable Knowledge Graphs Complex embeddings for simple link prediction

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.914888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46d13ce6-b3c5-42c8-82c6-f77aa5e85b4f · outbound

This paper cites The ai doctor is in: A survey of task-oriented dialogue systems for healthcare applications.

Enhancing Large Language Models with Reliable Knowledge Graphs The ai doctor is in: A survey of task-oriented dialogue systems for healthcare applications

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.907285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f333089-ee8e-40d6-a009-41e624348f01 · outbound

This paper cites Relational message passing for knowledge graph completion.

Enhancing Large Language Models with Reliable Knowledge Graphs Relational message passing for knowledge graph completion

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.898527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9b5ee4a-a7a6-44cd-a8d5-2be18c65af17 · outbound

This paper cites Knowledge graph convolutional networks for recommender systems.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge graph convolutional networks for recommender systems

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.890183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7452ba2-b7f3-4c8a-8616-1c89843e1b9c · outbound

This paper cites Knowledge graph convolutional networks for recommender systems.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge graph convolutional networks for recommender systems

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:58.881919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c90ed9e0-d2a4-496c-bd2c-35ac356e29b5 · outbound

This paper cites Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

Enhancing Large Language Models with Reliable Knowledge Graphs Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.106995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702a8d42-04fa-4012-8896-e79c0a9b3cd8 · outbound

This paper cites Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:58.110056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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