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Beongjun Choi

2 accepted papers

2026

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games

ICLR 2026poster

Large Language Model (LLM) agents are reshaping the game industry, by enabling more intelligent and human-preferable characters. Yet, current game benchmarks fall short of practical needs: they lack evaluations of diverse LLM capabilities across various game genres, studies of agentic modules crucia…

Cited by 0SourceScholar
2020

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks

NeurIPS 2020poster

Current distributed learning systems suffer from serious performance degradation under Byzantine attacks. This paper proposes Election Coding, a coding-theoretic framework to guarantee Byzantine-robustness for distributed learning algorithms based on signed stochastic gradient descent (SignSGD) that…

Cited by 44SourcePDFScholar