Zelong Li

Orcid: 0000-0002-3110-4481

Affiliations:
  • Rutgers University, Piscataway, NJ, USA (PhD 2024)


According to our database1, Zelong Li authored at least 23 papers between 2021 and 2025.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2025
A Survey on Trustworthy Recommender Systems.
Trans. Recomm. Syst., June, 2025

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
AutoFlow: Automated Workflow Generation for Large Language Model Agents.
CoRR, 2024

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents.
CoRR, 2024

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

AIOS: LLM Agent Operating System.
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

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

IDGenRec: LLM-RecSys Alignment with Textual ID Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TrustAgent: Towards Safe and Trustworthy LLM-based Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Explainable and Coherent Complement Recommendation Based on Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Efficient Non-Sampling Graph Neural Networks.
Inf., 2023

Counterfactual Collaborative Reasoning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 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
AutoLossGen: Automatic Loss Function Generation for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Explainable Fairness in Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
From Kepler to Newton: Explainable AI for Science Discovery.
CoRR, 2021

Counterfactual Evaluation for Explainable AI.
CoRR, 2021

Efficient Non-Sampling Knowledge Graph Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021


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