Matching Game Preferences Through Dialogical Large Language Models: A Perspective | Paper Citation Record

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This paper cites Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective GraphText: Graph Reasoning in Text Space

Reference 2

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This paper cites Personalization of Large Language Models: A Survey.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Personalization of Large Language Models: A Survey

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Artiﬁcial intelligence and illusions of understanding in scientiﬁc research

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

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This paper cites Aligning Language Models with Demonstrated Feedback.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Aligning Language Models with Demonstrated Feedback

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective On the Measure of Intelligence

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This paper cites When large language models meet personalization: Perspectives of challenges and opportunities.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective When large language models meet personalization: Perspectives of challenges and opportunities

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This paper cites Human- in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Human- in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning

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This paper cites Assessing LLMs Suitability for Knowledge Graph Completion.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Assessing LLMs Suitability for Knowledge Graph Completion

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This paper cites Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conver- sational Recommendation.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conver- sational Recommendation

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This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 12

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This paper cites A short Survey: Exploring knowledge graph-based neural-symbolic system from application perspective.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective A short Survey: Exploring knowledge graph-based neural-symbolic system from application perspective

Reference 13

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This paper cites A Very Brief Introduction to Machine Learning with Applications to Communication Systems.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective A Very Brief Introduction to Machine Learning with Applications to Communication Systems

Reference 14

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Retrieving Adversarial Cliques in Cognitive Communities: A New Conceptual Framework for Scientific Knowledge Graphs

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This paper cites A Multiverse Graph to Help Scientific Reasoning from Web Usage: Interpretable Patterns of Assessor Shifts in GRAPHYP.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective A Multiverse Graph to Help Scientific Reasoning from Web Usage: Interpretable Patterns of Assessor Shifts in GRAPHYP

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Challenging Scientific Categorizations Through Dispute Learning

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This paper cites Think Only When You Need with Large Hybrid-Reasoning Models.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Think Only When You Need with Large Hybrid-Reasoning Models

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Law-Following AI: Designing AI Agents to Obey Human Laws

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective The benefits and dangers of anthropomorphic conversational agents

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective User Modeling in the Era of Large Language Models: Current Research and Future Directions

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective The Method of Language-Games as a Method of Logic

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective An Introduction to Variational Methods for Graphical Models

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective The pivot penalty in research

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Graphologue: Exploring Large Language Model Responses with Interactive Diagrams

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Building knowledge-grounded dialogue systems with graph-based semantic modelling

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective LLM Inference Enhanced by External Knowledge: A Survey

Reference 29

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Research Trends for the Interplay between Large Language Models and Knowledge Graphs

Reference 30

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Challenging Machines to the Language Game: Wittgensteinian Philosophy and Future Dimensions of Artificial Intel- ligence

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Philosophical Investigations into AI Alignment: A Wittgensteinian Framework

Reference 33

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Essai d’une Théorie des Langues Spéciales

Reference 34

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Black-box Language Models with Knowledge Graphs

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Ap- proach

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Unresolved cited work

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective On the fractal patterns of language structures

Reference 42

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Fractal Patterns May Illuminate the Success of Next-Token Prediction

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Hydra: Structured Cross-Source Enhanced Large Language Model Reasoning

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective A Graph-based Approach for Adaptive Serious Games

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Efficient Algorithms for Personalized PageRank Computation: A Survey

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This paper cites The BS-meter: A ChatGPT-Trained Instrument to Detect Sloppy Language-Games.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective The BS-meter: A ChatGPT-Trained Instrument to Detect Sloppy Language-Games

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Injecting Knowledge Graphs into Large Language Models

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective GENEVA: GENErating and Visualizing branching narratives using LLMs

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Personalized Graph-Based Retrieval for Large Language Models

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective A Graph Neural Network Reasoner for Game Description Language

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Matching Game Preferences Through Dialogical Large Language Models: A Perspective Integrating Graphs with Large Language Models: Methods and Prospects

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Observation 89f60f85-46d8-4693-b0fd-5fe1fc4bf13f · outbound

This paper cites GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:27.009196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16f116e3-1019-48ee-93e1-19ca847ea6c6 · outbound

This paper cites Apollonion: Profile-centric Dialog Agent.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Apollonion: Profile-centric Dialog Agent

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:54:27.261742Z

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 9b23a09b-5fd2-4038-b6e2-75dbfb712a9b · outbound

This paper cites Aligning LLMs with Individual Preferences via Interaction.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Aligning LLMs with Individual Preferences via Interaction

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:27.020037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1641c802-b4a6-43ba-a7a3-a94194acc45a · outbound

This paper cites Combining Knowledge Graphs and Large Language Models.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Combining Knowledge Graphs and Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:27.027394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d503fb24-91e7-4e71-807e-7f1cf9e39f81 · outbound

This paper cites Bias in Large Language Models: Origin, Evaluation, and Mitigation.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Bias in Large Language Models: Origin, Evaluation, and Mitigation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:27.033941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74603caa-d9f8-46fa-86f8-34ec89e3728b · outbound

This paper cites Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:54:27.182449Z

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 e33dcf69-07ab-459c-a0ab-abd0668a339e · outbound

This paper cites AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:27.047866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f626d627-a47f-4797-81a1-143f0fd10141 · outbound

This paper cites Building Knowledge from Interactions: An LLM-Based Architecture for Adaptive Tutoring and Social Reasoning.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Building Knowledge from Interactions: An LLM-Based Architecture for Adaptive Tutoring and Social Reasoning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:27.053259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26ac0fc9-642a-4bbf-a83f-e8a04d402788 · outbound

This paper cites Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:54:27.122953Z

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.

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Outbound references

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