Papers by Gunhee Cho
A Hierarchical Latent Structure for Variational Conversation Modeling (N18-1)
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| Challenge: | Variational autoencoders suffer from the notorious degeneration problem, according to a new study . utterance drop regularization is an important feature of the hierarchical RNNs . |
| Approach: | They propose a variational hierarchical conversation RNN framework that exploits latent variables and an utterance drop regularization to exploit latent variable. |
| Outcome: | The proposed model outperforms state-of-the-art models on Cornell Movie Dialog and Ubuntu Dialog Corpus. |
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. |
CharMoral: A Character Morality Dataset for Morally Dynamic Character Analysis in Long-Form Narratives (2025.coling-main)
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| Challenge: | Existing studies on character analysis focus on character identification, social network analysis, and the exploration of characters' personas or personalities. |
| Approach: | They propose a four-stage framework to automatically classify actions as moral or immoral based on context. |
| Outcome: | The proposed framework is effective in moral reasoning tasks in multiple genres. |