Yangfeng Ji
According to our database1,
Yangfeng Ji
authored at least 65 papers
between 2009 and 2023.
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Bibliography
2023
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models.
CoRR, 2022
CoRR, 2022
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors.
CoRR, 2022
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings.
CoRR, 2021
CoRR, 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 14th International Conference on Natural Language Generation, 2021
Charging at Second Culmination? Optimal Freemium Pricing for E-books via Field Experiment and Text Analysis.
Proceedings of the 42nd International Conference on Information Systems, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
2020
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory.
CoRR, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2020
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020
2019
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation.
CoRR, 2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018
2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
CoRR, 2016
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations.
Trans. Assoc. Comput. Linguistics, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Trans. Assoc. Comput. Linguistics, 2014
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations.
CoRR, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2014
2013
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the International Conference on Machine Learning and Applications, 2009