Jon Chun

According to our database, Jon Chun authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

Quantal Response Equilibrium as a Measure of Strategic Sophistication: Theory and Validation for LLM Evaluation.

Mateo Pechon-Elkins, Jon Chun

CoRR, March, 2026

CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models.

Jon Chun, Hannah Sussman, Adrian Mangine, Murathan Kocaman, Kirill Sidorko, Abhigya Koirala, Andre McCloud, Gwen Eisenbeis, Wisdom Akanwe, Moustapha Gassama, Eliezer Gonzalez Chirinos, Anne-Duncan Enright, Peter Dunson, Tiffanie Ng, Anna von Rosenstiel, Godwin Idowu

CoRR, March, 2026

AgenticSimLaw: A Juvenile Courtroom Multi-Agent Debate Simulation for Explainable High-Stakes Tabular Decision Making.

Jon Chun, Kathrine Elkins, Yong Suk Lee

CoRR, January, 2026

The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making.

Jon Chun, Katherine Elkins

CoRR, January, 2026

When Prohibitions Become Permissions: Auditing Negation Sensitivity in Language Models.

Katherine Elkins, Jon Chun

CoRR, January, 2026

Syntactic Framing Fragility: An Audit of Robustness in LLM Ethical Decisions.

Katherine Elkins, Jon Chun

CoRR, January, 2026

2024

MultiSentimentArcs: a novel method to measure coherence in multimodal sentiment analysis for long-form narratives in film.

Jon Chun

Frontiers Comput. Sci., 2024

Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US.

Jon Chun, Christian Schröder de Witt, Katherine Elkins

CoRR, 2024

Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

Near to Mid-term Risks and Opportunities of Open Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values.

Jon Chun, Katherine Elkins

CoRR, 2024

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

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

2023

The Crisis of Artificial Intelligence: A New Digital Humanities Curriculum for Human-Centred AI.

Jon Chun, Katherine Elkins

Int. J. Humanit. Arts Comput., October, 2023

2021

SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs.

Jon Chun

CoRR, 2021

2019

Can Sentiment Analysis Reveal Structure in a Plotless Novel?

Katherine Elkins, Jon Chun

CoRR, 2019