Author

Sangyeon Yoon

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#artificial intelligence Mar 2026

BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs

Large language models (LLMs) increasingly store user preferences in persistent memory to support personalization across interactions. However, in third-party communication settings governed by social and institutional norms, some user preferences may be inappropriate to apply. We introduce BenchPreS, which evaluates wh...

Sangyeon Yoon, SunKyoung Kim, Hyesoo Hong et al. · arXiv.org · 8 citations · ⚡2

#machine learning Preprint Oct 2026

Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following

CALIF is a lightweight method that augments verifier rewards with a calibrated likelihood-based bonus to preserve response quality and outperforms corresponding base policies in 40 of 45 model-metric comparisons across three rubric-based instruction-following benchmarks.

Sangyeon Yoon, Wooseok Seo, Hamish Ivison et al. · 0 citations

#natural language process... Preprint Sep 2026

Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models

This work shows that paraphrase robustness is a core requirement for reliable VLM-based reward modeling in robotics and introduces ROBORMBENCH, a benchmark with 2,390 real-robot trajectories, ground-truth progress labels, and 21,673 verified paraphrases spanning lexical, syntactic, and action-goal rewrites.

Wonje Jeung, Sangyeon Yoon, Hyesoo Hong et al. · 0 citations