Yangxinyu Xie

Orcid: 0000-0002-1532-6746

According to our database1, Yangxinyu Xie authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Foundations of Top-<i>k</i> Decoding For Language Models.
CoRR, May, 2025

Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data.
CoRR, May, 2025

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?
CoRR, May, 2025

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation.
CoRR, April, 2025

Information Retrieval for Climate Impact.
CoRR, April, 2025

Towards Rationality in Language and Multimodal Agents: A Survey.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Debiasing Watermarks for Large Language Models via Maximal Coupling.
CoRR, 2024

Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey.
CoRR, 2024

WildfireGPT: Tailored Large Language Model for Wildfire Analysis.
CoRR, 2024

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell., October, 2023

A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios.
CoRR, 2023

2022
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR, 2022

2021
Improving random walk rankings with feature selection and imputation.
CoRR, 2021

Improving random walk rankings with feature selection and imputation Science4cast competition, team Hash Brown.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021


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