Wenyue Hua

Orcid: 0009-0008-2043-2704

According to our database1, Wenyue Hua authored at least 28 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Towards LLM-RecSys Alignment with Textual ID Learning.
CoRR, 2024

Large Language Models in Biomedical and Health Informatics: A Bibliometric Review.
CoRR, 2024

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models.
CoRR, 2024

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.
CoRR, 2024

EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models.
CoRR, 2024

TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution.
CoRR, 2024

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents.
CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
CoRR, 2024

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model.
CoRR, 2024

Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks.
CoRR, 2024

The Impact of Reasoning Step Length on Large Language Models.
CoRR, 2024

GenRec: Large Language Model for Generative Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.
CoRR, 2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem.
CoRR, 2023

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.
CoRR, 2023

OpenP5: Benchmarking Foundation Models for Recommendation.
CoRR, 2023

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.
CoRR, 2023

OpenAGI: When LLM Meets Domain Experts.
CoRR, 2023

How to Index Item IDs for Recommendation Foundation Models.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Tutorial on Large Language Models for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

OpenAGI: When LLM Meets Domain Experts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension.
CoRR, 2022

Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing.
CoRR, 2022

EntQA: Entity Linking as Question Answering.
Proceedings of the Tenth International Conference on Learning Representations, 2022

System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Learning Input Strictly Local Functions From Their Composition.
Proceedings of the 15th International Conference on Grammatical Inference, 2021

2020
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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