Zijin Hong

Orcid: 0009-0008-2283-255X

According to our database1, Zijin Hong authored at least 16 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement.
CoRR, March, 2026

Graph-based Agent Memory: Taxonomy, Techniques, and Applications.
CoRR, February, 2026

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL.
IEEE Trans. Knowl. Data Eng., December, 2025

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.
CoRR, June, 2025

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation.
CoRR, June, 2025

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.
CoRR, February, 2025

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.
CoRR, January, 2025

Benchmarking Large Language Models via Random Variables.
CoRR, January, 2025

Contrastive learning with hard negatives for sentence embeddings.
Appl. Soft Comput., 2025

2024
HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives.
CoRR, 2024

CLR-Bench: Evaluating Large Language Models in College-level Reasoning.
CoRR, 2024

Unconstrained Model Merging for Enhanced LLM Reasoning.
CoRR, 2024

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Towards Better Question Generation in QA-based Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024


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