Geigh Zollicoffer

According to our database, Geigh Zollicoffer authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Sanity Checks for Long-Form Hallucination Detection.

Geigh Zollicoffer, Minh Nhat Vu, Hongli Zhan, Raymond Li, Manish Bhattarai

CoRR, May, 2026

2025

World Model Robustness via Surprise Recognition.

Geigh Zollicoffer, Tanush Chopra, Mingkuan Yan, Xiaoxu Ma, Kenneth Eaton, Mark Riedl

CoRR, December, 2025

HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling.

Minh N. Vu, Brian K. Tran, Syed A. Shah, Geigh Zollicoffer, Nhat Hoang-Xuan, Manish Bhattarai

CoRR, September, 2025

Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation.

Geigh Zollicoffer, Minh N. Vu, Manish Bhattarai

CoRR, May, 2025

Novelty Detection in Reinforcement Learning with World Models.

Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Wei Zhou, Robert Wright, Mark O. Riedl

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Topological Signatures of Adversaries in Multimodal Alignments.

Minh Nhat Vu, Geigh Zollicoffer, Huy Quang Mai, Ben Nebgen, Boian S. Alexandrov, Manish Bhattarai

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LaFA: Latent Feature Attacks on Non-Negative Matrix Factorization.

Minh Nhat Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai

Proceedings of the IEEE International Conference on Data Mining, 2025

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification.

Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization.

Minh N. Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai

CoRR, 2024

Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework.

Geigh Zollicoffer, Kshitij Bhatta, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin

CoRR, 2024

Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization.

Kshitij Bhatta, Geigh Zollicoffer, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin

CoRR, 2024

Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning.

Jonathan C. Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia M. Kim, Mark O. Riedl

CoRR, 2024

2023

A Simple Way to Incorporate Novelty Detection in World Models.

Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl, Robert Wright

CoRR, 2023