Papers by Jaewoong Yun
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games (2025.emnlp-main)
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| Challenge: | Existing game benchmarks lack diversity and evaluate GUI agents on completing entire storylines. |
| Approach: | They propose a benchmark of 34 Flash-based adventure games to test full story arc completion and tackle observation-behavior gap. |
| Outcome: | The proposed benchmarks show GUI agents struggle with full story arc completion while others improve on observation-behavior gaps. |
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models (2024.eacl-long)
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| Challenge: | Abstractive summarization models generate factually inconsistent content when parametric knowledge conflicts with knowledge in the input document. |
| Approach: | They propose a method to enhance factual adaptiveness while achieving factual consistency on original datasets. |
| Outcome: | The proposed method improves factual adaptiveness while achieving factual consistency on original datasets. |
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency (2023.findings-acl)
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| Challenge: | a summarization model with relatively low factual consistency is more likely to model summaries that are not conditional to the documents. |
| Approach: | They analyze the model intrinsic features by varying the fine-tuning objectives and datasets. |
| Outcome: | The proposed models have a high inductive bias for factual consistency and are more likely to model summaries that are not conditional to the documents. |