Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning | Paper Citation Record

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This paper cites LAMP: A Language Model on the Map.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning LAMP: A Language Model on the Map

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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This paper cites Does your data spark joy? Performance gains from domain upsampling at the end of training.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Does your data spark joy? Performance gains from domain upsampling at the end of training

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning KTO: Model Alignment as Prospect Theoretic Optimization

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This paper cites CityGPT: Empowering Urban Spatial Cognition of Large Language Models.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning CityGPT: Empowering Urban Spatial Cognition of Large Language Models

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This paper cites AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction

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This paper cites CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Language Models Represent Space and Time

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Measuring Massive Multitask Language Understanding

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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This paper cites UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Gonzalez, Hao Zhang, and Ion Stoica

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Leybzon and Corentin Kervadec

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Large Language Models are Geographically Biased

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning GeoLLM: Extracting Geospatial Knowledge from Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning On Faithfulness and Factuality in Abstractive Summarization

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning GPT4GEO: How a Language Model Sees the World's Geography

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Where Would I Go Next? Large Language Models as Human Mobility Predictors

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Emergent Abilities of Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Hallucination is Inevitable: An Innate Limitation of Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning KoLA: Carefully Benchmarking World Knowledge of Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Unresolved cited work

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Instruction-Following Evaluation for Large Language Models

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning online" 'onlinestring :=

Reference 58

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning write newline

Reference 59

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