Thomson Yen

According to our database, Thomson Yen authored at least 6 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

WorkstreamBench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance.

Thomson Yen, Julian Poeltl, Harshith Srinivas Gear, Yilin Meng, Joshua Fan, Adam Shen, Yili Liu, Ali Bauyrzhan, Siri Du, Haoyang Liu, Daniel Guetta, Hongseok Namkoong

CoRR, May, 2026

2025

Benchmarking In-context Experiential Learning Through Repeated Product Recommendations.

Gilbert Yang, Yaqin Chen, Thomson Yen, Hongseok Namkoong

CoRR, November, 2025

SynthTools: A Framework for Scaling Synthetic Tools for Agent Development.

Tommaso Castellani, Naimeng Ye, Daksh Mittal, Thomson Yen, Hongseok Namkoong

CoRR, November, 2025

Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework.

Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen, Tianyi Peng, Daniel Guetta, Hongseok Namkoong

CoRR, March, 2025

Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework.

Thomson Yen, Andrew Siah, Haozhe Chen, C. Guetta, Tianyi Peng, Hongseok Namkoong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling.

Daksh Mittal, Leon Li, Thomson Yen, C. Guetta, Hongseok Namkoong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025