Manning, Christopher D.

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Tian, K., Mitchell, E., Zhou, A., Sharma, A., Rafailov, R., Yao, H., Finn, C., & Manning, C. D. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 5

BAGEL: Bootstrapping Agents by Guiding Exploration with Language

Murty, S., Manning, C., Shaw, P., Joshi, M., & Lee, K. (2024) · arXiv

Information Retrieval and Search BehaviorNatural Language Processing Techniques

Cited by 2

Model Editing with Canonical Examples

Hewitt, J., Chen, S., Xie, L. L., Adams, E., Liang, P., & Manning, C. D. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Goldie, A., Mirhoseini, A., Zhou, H., Cai, I., & Manning, C. D. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces

Yu, S., Chong, D., Nandi, A., Soylu, D., Sun, J., Manning, C. D., & Shi, W. (2026) · arXiv

Scientific Computing and Data ManagementAI-based Problem Solving and Planning

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