Tianhang Zhang

Orcid: 0000-0002-8806-4492

According to our database1, Tianhang Zhang authored at least 27 papers between 2016 and 2026.

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Timeline

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Bibliography

2026
Survey on Factuality in Large Language Models.
ACM Comput. Surv., January, 2026

EvacuNet: an intelligent decision support framework for real-time evacuation assessment in complex buildings.
Expert Syst. Appl., 2026

Deep learning-driven digital twin system for pedestrian tracking and evacuation load assessment in public spaces.
Eng. Appl. Artif. Intell., 2026

2025
Prediction and Optimization of Civil Aviation Flight Delays Based on Machine Learning Algorithms.
Int. J. Comput. Intell. Syst., December, 2025

Using large language models to produce literature reviews: Usages and systematic biases of microphysics parametrizations in 2699 publications.
CoRR, March, 2025

Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors.
Neuromorph. Comput. Eng., 2025

AIoT-powered building digital twin for smart firefighting and super real-time fire forecast.
Adv. Eng. Informatics, 2025

2024
Explainable deep learning for image-driven fire calorimetry.
Appl. Intell., January, 2024

AI-powered fire engineering design and smoke flow analysis for complex-shaped buildings.
J. Comput. Des. Eng., 2024

Forecasting backdraft with multimodal method: Fusion of fire image and sensor data.
Eng. Appl. Artif. Intell., 2024

RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models.
CoRR, 2024

RepEval: Effective Text Evaluation with LLM Representation.
CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.
CoRR, 2024

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RepEval: Effective Text Evaluation with LLM Representation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ECON: On the Detection and Resolution of Evidence Conflicts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Knowledge-Centric Hallucination Detection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR, 2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
CoRR, 2023

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2020
Chromosome Extraction Based on U-Net and YOLOv3.
IEEE Access, 2020

Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
Real-Time and Long-Distance Measurement of Displacement Based on Optoelectronic Oscillator.
IEEE Access, 2019

2016
Multiobjective Optimization of Linear Cooperative Spectrum Sensing: Pareto Solutions and Refinement.
IEEE Trans. Cybern., 2016


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