Papers with theoretical model
Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights (2022.tacl-1)
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| Challenge: | a robust dialogue agent cannot assume a cooperative conversational counterpart when deployed in the wild. |
| Approach: | They propose a theoretical model for identifying non-cooperative interlocutors . they use reinforcement learning to implement multiple communication strategies . |
| Outcome: | The proposed model is validated by using reinforcement learning to implement multiple communication strategies. |
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives (2025.findings-acl)
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Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Sitao Xie, Yubo Zhang, Jiaxin Shi, Zhixing Wang, Hongyan Li, Junchi Yan
| Challenge: | Existing approaches to solving complex tasks with large language models (LLMs) fail to decompose tasks accurately or execute subtasks effectively. |
| Approach: | They propose a Chain-of-Learning (CoL) paradigm that highlights task dependencies on specific capability items, further broken down into their constituent knowledge and skill components. |
| Outcome: | The proposed model improves Yi-1.5-9B and Llama3-Chinese-8B for legal tasks by 45.00% and 24.50% on different domains. |
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization (P19-1)
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| Challenge: | Abstractive text summarization is a demanding, time expensive and generally laborious task. |
| Approach: | They propose a framework for enhancing abstractive text summarization using deep learning techniques and semantic data transformations. |
| Outcome: | The proposed method is evaluated on two popular datasets with encouraging results. |
KODIS: A Multicultural Dispute Resolution Dialogue Corpus (2025.naacl-long)
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| Challenge: | KODIS is a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. |
| Approach: | They propose to use a dyadic dispute resolution corpus to examine how conflicts escalate through conversation rather than deal-making. |
| Outcome: | The proposed corpus contains thousands of dialogues from over 75 countries. |