Hongjin Su

Orcid: 0000-0002-0812-4695

According to our database1, Hongjin Su authored at least 14 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
MMTEB: Massive Multilingual Text Embedding Benchmark.
CoRR, February, 2025

SDCLR: Scalable Dual Control-Layer Routing for continuous-flow microfluidic biochips with minimized control ports.
Integr., 2025

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generative Representational Instruction Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Application Mapping Method based on Particle Swarm Optimization for Continuous-Flow Microfluidic Biochips.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024
ARKS: Active Retrieval in Knowledge Soup for Code Generation.
CoRR, 2024

Lemur: Harmonizing Natural Language and Code for Language Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EvoR: Evolving Retrieval for Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
OpenAgents: An Open Platform for Language Agents in the Wild.
CoRR, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

One Embedder, Any Task: Instruction-Finetuned Text Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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