Tao Feng
Orcid: 0009-0001-9490-7353Affiliations:
- Monash University, Melbourne, VIC, Australia
According to our database1,
Tao Feng
authored at least 12 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks?
CoRR, 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction.
CoRR, 2024
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations.
CoRR, 2024
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery.
Trans. Assoc. Comput. Linguistics, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
2022