Papers with cognitive ability
Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation (2023.acl-long)
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| Challenge: | Existing approaches to generate high quality responses rely on future text . |
| Approach: | They propose a hierarchical duality learning for dialogue to simulate human cognitive ability . they utilize hierarchically dualities at token hierarchy and utterance hierarchy to simulate duality . |
| Outcome: | The proposed model can generate high quality responses that connect both previous and follow-up dialogues. |
Pre-training Language Models for Comparative Reasoning (2023.emnlp-main)
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| Challenge: | Comparative reasoning is a process of comparing objects, concepts, or entities to draw conclusions. |
| Approach: | They propose a framework to pre-train language models for enhancing comparative reasoning abilities . they collect scalable data for text-based entity comparison . |
| Outcome: | The proposed framework significantly improves comparative reasoning abilities under low-resource conditions on downstream tasks. |
LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification (2024.lrec-main)
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| Challenge: | Experimental results show that our model exceeds the baseline models due to the lack of cognitive ability. |
| Approach: | They propose a LLM-Augmented Unsupervised Contrastive Learning Framework which introduces a cognition-enabled Large Language Model (LLM) for efficient data augmentation and presents corresponding contrastive learning strategies. |
| Outcome: | The proposed model exceeds baseline models on six datasets. |
K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings (2023.findings-emnlp)
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| Challenge: | Existing datasets on hate speech detection focus on overt forms of hate . however, a majority of these resources are English-centric, focusing on overtones of hate. |
| Approach: | They propose a new corpus for hate speech detection in Korean with target-specific offensiveness ratings that offer a three-point Likert scale. |
| Outcome: | The proposed corpus is the largest offensive language corpus in Korean and offers target-specific ratings on a three-point Likert scale. |