Papers by Juyeon Heo
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework (2025.coling-main)
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| Challenge: | Large Language Models (LLMs) have revolutionized the way we can formulate tasks in text-in-text-out format. |
| Approach: | They propose a new evaluation framework to comprehensively assess LLMs’ function modeling abilities by adopting a Bayesian perspective of function modeling. |
| Outcome: | The proposed evaluation framework enables LLMs to excel in utilizing prior knowledge to develop a strong understanding of the underlying function. |
LLMs on interactive feature collections with implicit dynamic decision strategy (2025.coling-main)
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| Challenge: | Large Language Models (LLMs) struggle to efficiently narrow down the search space . external engineered systems may not fully utilize the inherent problem-solving capabilities of LLMs . |
| Approach: | They propose to implicitly guide Large Language Models to enhance their interactive feature collection abilities within a single prompt. |
| Outcome: | The proposed approach improves the performance of large language models in real-world scenarios. |