Nicholas Crispino

According to our database, Nicholas Crispino authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Peer-Preservation in Frontier Models.

Yujin Potter, Nicholas Crispino, Vincent Siu, Chenguang Wang, Dawn Song

CoRR, April, 2026

2025

LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess.

Sai Kolasani, Maxim Saplin, Nicholas Crispino, Kyle Montgomery, Jared Quincy Davis, Matei Zaharia, Chi Wang, Chenguang Wang

CoRR, December, 2025

SteeringControl: Holistic Evaluation of Alignment Steering in LLMs.

Vincent Siu, Nicholas Crispino, David Park, Nathan W. Henry, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang

CoRR, September, 2025

RepIt: Representing Isolated Targets to Steer Language Models.

Vincent Siu, Nathan W. Henry, Nicholas Crispino, Yang Liu, Dawn Song, Chenguang Wang

CoRR, September, 2025

VMDT: Decoding the Trustworthiness of Video Foundation Models.

Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song

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

COSMIC: Generalized Refusal Direction Identification in LLM Activations.

Vincent Siu, Nicholas Crispino, Zihao Yu, Sam Pan, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models.

Jianhong Tu, Zhuohao Ni, Nicholas Crispino, Zihao Yu, Michael Bendersky, Beliz Gunel, Ruoxi Jia, Xin Liu, Lingjuan Lyu, Dawn Song, Chenguang Wang

CoRR, 2024

Agent Instructs Large Language Models to be General Zero-Shot Reasoners.

Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024