Sun, Simeng

RULER: What's the Real Context Size of Your Long-Context Language Models?

Hsieh, C.-P., Sun, S., Kriman, S., Acharya, S., Rekesh, D., Jia, F., Zhang, Y., & Ginsburg, B. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,068

TopicGPT: A Prompt-based Topic Modeling Framework

Pham, C., Hoyle, A., Sun, S., Resnik, P., & Iyyer, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingComputational and Text Analysis Methods

Cited by 108

Do Long-Range Language Models Actually Use Long-Range Context?

Sun, S., Krishna, K., Mattarella-Micke, A., & Iyyer, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 43

L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution

Sun, S., Hsieh, C.-P., Ladhak, F., Arakelyan, E., Serano, S. A., & Ginsburg, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF

Sun, S., Gupta, D., & Iyyer, M. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Suri: Multi-constraint Instruction Following for Long-form Text Generation

Pham, C. M., Sun, S., & Iyyer, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0