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Heejin Do

ETH Zurich

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#artificial intelligence Preprint Sep 2026

Do LLMs Exhibit Coherent Knowledge Structures in Mathematical Reasoning? A Perspective from Knowledge Space Theory

Human knowledge is inherently structured and interdependent: mastery of a concept requires prior mastery of its prerequisites, a principle formalized by Knowledge Space Theory (KST). While LLMs achieve strong performance on complex reasoning tasks, it remains unclear whether they exhibit coherent, human-like knowledge...

Peng Cui, Heejin Do, Mrinmaya Sachan · 0 citations

Last Translation Benchmark

The Last Translation Benchmark is introduced, a collection of human-authored and peer-reviewed examples that break leading machine translation models and a new evaluation approach: each example comes with handcrafted verification rules describing concrete failure cases on that example, therefore allowing reliable and a...

Vilém Zouhar, Niyati Bafna, Mukund Choudhary et al. · 0 citations
#machine learning Preprint Sep 2026

SWIM: Student Writing Simulation via Proficiency-Conditioned Generation

This work evaluates prompting, supervised fine-tuning (SFT), and reinforcement learning (RL) methods for writing simulation using automated essay scoring as a measure of profile alignment and suggests that explicit supervision enables substantially stronger profile alignment than prompting alone.

Heejin Do, Jakub Kontak, Mrinmaya Sachan · 1 citation
#natural language process... Preprint Aug 2026

GPAgentBench-2K: Benchmarking Large Language Model Agents in Complex Clinical Action Space

GPAgentBench-2K is introduced, the first Constrained MDP (CMDP) LLM-agent benchmark for primary-care clinical decision-making, constructed from expert-validated records of real-world GP encounters, and uncovers a clinical quality-safety gap.

Bo-Qi Chen, Xudong Liu, Y. Ao et al. · 0 citations

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