Yangfeng Ji

发表

HittER: Hierarchical Transformers for Knowledge Graph Embeddings pdf

Jianfeng Gao, Sanxing Chen, Jian Jiao, 2020, EMNLP.

White-box Testing of NLP models with Mask Neuron Coverage

Matthew B. Dwyer, Yanjun Qi, Arshdeep Sekhon, 2022, NAACL-HLT.

Contrastive Data and Learning for Natural Language Processing

Rui Zhang, R. Passonneau, Yue Zhang, 2022, NAACL.

Efficient Model Finetuning for Text Classification via Data Filtering

F. Lin, Yangfeng Ji, Xuan Ouyang, 2022, ArXiv.

A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

P. Balachandran, Kyungtae Lee, Mukil V. Ayyasamy, 2022, Scientific Reports.

Explaining Predictive Uncertainty by Looking Back at Model Explanations

Yangfeng Ji, Wanyu Du, Hanjie Chen, 2022, 2201.03742.

CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification

S. Schoch, Yangfeng Ji, Haifeng Xu, 2022, NeurIPS.

Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation

Yangfeng Ji, Wanyu Du, Hanjie Chen, 2022, EMNLP.

Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification

Yangfeng Ji, Hanjie Chen, Ruixuan Tang, 2022, BLACKBOXNLP.

Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models

Yangfeng Ji, Hannah Chen, David Evans, 2022, EMNLP.

Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory pdf

David Evans, Yangfeng Ji, Hannah Chen, 2020, FINDINGS.

Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors

Yangfeng Ji, Wanyu Du, Jianqiao Zhao, 2022, ArXiv.

REV: Information-Theoretic Evaluation of Free-Text Rationales

Yejin Choi, Swabha Swayamdipta, Xiang Ren, 2022, ArXiv.

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing pdf

Arshdeep Sekhon, Hanjie Chen, Sanchit Sinha, 2021, BLACKBOXNLP.

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Jianfeng Gao, Sanxing Chen, Jian Jiao, 2020, EMNLP.

Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers

Yangfeng Ji, Hanjie Chen, 2020, Conference on Empirical Methods in Natural Language Processing.

A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing pdf

Sanxing Chen, Xiaodong Liu, Yangfeng Ji, 2020, COLING.

Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation

Yangfeng Ji, Hanjie Chen, 2022, AAAI.

SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks

Yangfeng Ji, Wanyu Du, 2021, EMNLP.

Improving Interpretability via Explicit Word Interaction Graph Layer

Yanjun Qi, Arshdeep Sekhon, A. Shrivastava, 2023, AAAI.

Pathologies of Pre-trained Language Models in Few-shot Fine-tuning

Guoqing Zheng, A. Awadallah, Yangfeng Ji, 2022, INSIGHTS.

PLAtE: A Large-scale Dataset for List Page Web Extraction

David M. Ciemiewicz, Kevin Small, Heba Elfardy, 2022, ACL.

Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings pdf

Yangfeng Ji, Andrew Wang, Mohit Sudhakar, 2021, ArXiv.

A variational Bayesian model for user intent detection

Gökhan Tür, Dilek Z. Hakkani-Tür, Larry P. Heck, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Self-augmented Data Selection for Few-shot Dialogue Generation

Yangfeng Ji, Wanyu Du, Hanjie Chen, 2022, ArXiv.

Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury Scale.

T. Hartka, Yangfeng Ji, George Glass, 2023, Accident; analysis and prevention.

Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values

S. Schoch, Ritwick Mishra, Yangfeng Ji, 2023, ACL.

Efficient NLP Model Finetuning via Multistage Data Filtering

F. Lin, Yangfeng Ji, Ouyang Xu, 2022, IJCAI.

REV: Information-Theoretic Evaluation of Free-Text Rationales

Yejin Choi, Swabha Swayamdipta, Xiang Ren, 2022, ACL.

Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs

Hanjie Chen, Yangfeng Ji, Yangfeng Ji, 2022, ArXiv.

Pre-training Transformers for Knowledge Graph Completion

Hao Cheng, Xiaodong Liu, Jianfeng Gao, 2023, ArXiv.