Lin Lee Cheong
Orcid: 0009-0006-8935-6602
According to our database1,
Lin Lee Cheong authored at least 23 papers
between 2013 and 2026.
Collaborative distances:
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Bibliography
2026
CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection.
CoRR, April, 2026
Trans. Mach. Learn. Res., 2026
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, October, 2025
SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces.
CoRR, March, 2025
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Explainability of Traditional and Deep Learning Models on Longitudinal Healthcare Records.
CoRR, 2022
2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2013
PhD thesis, 2013