Potts, Christopher

Rigorously assessing natural language explanations of neurons

Huang, J., Geiger, A., D’Oosterlinck, K., Wu, Z., & Potts, C. (2023) · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 3

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Singhvi, A., Shetty, M., Tan, S., Potts, C., Sen, K., Zaharia, M., & Khattab, O. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2

Base Models Beat Aligned Models at Randomness and Creativity

West, P., & Potts, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Wu, Z., Arora, A., Geiger, A., Wang, Z., Huang, J., Jurafsky, D., Manning, C. D., & Potts, C. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 0