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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An Empirical Study of Automating Agent Evaluation.
CoRR, May, 2026

CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection.
CoRR, April, 2026

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation.
Trans. Mach. Learn. Res., 2026

Learning to Ideate for Machine Learning Engineering Agents.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

PromptPrism: A Linguistically-Inspired Taxonomy for Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Diffusion Language Model Inference with Monte Carlo Tree Search.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Reinforcement Learning for Self-Improving Agent with Skill Library.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Collaborative LLM Numerical Reasoning with Local Data Protection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph.
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

KDD 2025 Workshop on Inference Optimization for Generative AI.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

KDD 2025 Workshop on Prompt Optimization.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CSPLADE: Learned Sparse Retrieval with Causal Language Models.
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

A Systematic Survey of Automatic Prompt Optimization Techniques.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
The Third Workshop on Applied Machine Learning Management.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
KDD 2023 Workshop on Data Science and AI for Sports.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The Second Workshop on Applied Machine Learning Management.
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
Single View Physical Distance Estimation using Human Pose.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2013
Novel advancements in nanofabrication for photonic crystal applications.
PhD thesis, 2013


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