Yangfeng Ji

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 75

Top Topics

Natural Language

Gaussian Process

Top Venues

EMNLP (Findings)

Publications

Hannah Chen, Yangfeng Ji, David Evans
Addressing Both Statistical and Causal Gender Fairness in NLP Models. CoRR (2024)
Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR (2024)
Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao
Does Differential Privacy Impact Bias in Pretrained Language Models? IEEE Data Eng. Bull. 47 (2) (2024)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) (2023)
Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao
Pre-training Transformers for Knowledge Graph Completion. CoRR (2023)
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
Improving Interpretability via Explicit Word Interaction Graph Layer. CoRR (2023)
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
Improving Interpretability via Explicit Word Interaction Graph Layer. AAAI (2023)
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values. ACL (student) (2023)
Wanyu Du, Yangfeng Ji
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation. CoRR (2023)
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
Efficient NLP Model Finetuning via Multistage Data Filtering. IJCAI (2023)
Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy
PLAtE: A Large-scale Dataset for List Page Web Extraction. ACL (industry) (2023)
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values. CoRR (2023)
Xu Ouyang, Changhong Yang, Felix Xiaozhu Lin, Yangfeng Ji
Secure and Effective Data Appraisal for Machine Learning. CoRR (2023)
Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning. Insights@ACL (2022)
Wanyu Du, Hanjie Chen, Yangfeng Ji
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation. EMNLP (Findings) (2022)
Hanjie Chen, Yangfeng Ji
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs. CoRR (2022)
Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification. CoRR (2022)
Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. EMNLP (2022)
Wanyu Du, Hanjie Chen, Yangfeng Ji
Self-augmented Data Selection for Few-shot Dialogue Generation. CoRR (2022)
Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. CoRR (2022)
Ruixuan Tang, Hanjie Chen, Yangfeng Ji
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. CoRR (2022)
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
Efficient Model Finetuning for Text Classification via Data Filtering. CoRR (2022)
Hannah Chen, Yangfeng Ji, David Evans
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. CoRR (2022)
Hanjie Chen, Yangfeng Ji
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. CoRR (2022)
Ruixuan Tang, Hanjie Chen, Yangfeng Ji
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. BlackboxNLP@EMNLP (2022)
Wanyu Du, Jianqiao Zhao, Liwei Wang, Yangfeng Ji
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors. CoRR (2022)
Aidan San, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Yangfeng Ji, Sandeep Atluri, Kevin Small, Heba Elfardy
PLAtE: A Large-scale Dataset for List Page Web Extraction. CoRR (2022)
Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning. CoRR (2022)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR (2022)
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification. NeurIPS (2022)
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification. CoRR (2022)
Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
White-box Testing of NLP models with Mask Neuron Coverage. CoRR (2022)
Hannah Chen, Yangfeng Ji, David Evans
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. EMNLP (2022)
Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
White-box Testing of NLP models with Mask Neuron Coverage. NAACL-HLT (Findings) (2022)
Hanjie Chen, Yangfeng Ji
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. AAAI (2022)
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. CoRR (2021)
Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. CoRR (2021)
Stephanie Schoch, Wanyu Du, Yangfeng Ji
Contextualizing Variation in Text Style Transfer Datasets. INLG (2021)
Hanbing Xue, Yongjun Li, Natasha Zhang Foutz, Yangfeng Ji
Charging at Second Culmination? Optimal Freemium Pricing for E-books via Field Experiment and Text Analysis. ICIS (2021)
Wanyu Du, Yangfeng Ji
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. CoRR (2021)
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) (2021)
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. BlackboxNLP@EMNLP (2021)
Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. NAACL-HLT (2021)
Wanyu Du, Yangfeng Ji
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. EMNLP (Findings) (2021)
Stephanie Schoch, Wanyu Du, Yangfeng Ji
Contextualizing Variation in Text Style Transfer Datasets. CoRR (2021)
Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Andrew Wang, Mohit Sudhakar, Yangfeng Ji
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings. CoRR (2021)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
Reevaluating Adversarial Examples in Natural Language. CoRR (2020)
Hanjie Chen, Yangfeng Ji
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. EMNLP (1) (2020)
Hannah Chen, Yangfeng Ji, David Evans
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. EMNLP (Findings) (2020)
Hannah Chen, Yangfeng Ji, David Evans
Pointwise Paraphrase Appraisal is Potentially Problematic. CoRR (2020)
Hanjie Chen, Yangfeng Ji
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. CoRR (2020)
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. COLING (2020)
Hanjie Chen, Guangtao Zheng, Yangfeng Ji
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. CoRR (2020)
Hannah Chen, Yangfeng Ji, David Evans
Pointwise Paraphrase Appraisal is Potentially Problematic. ACL (student) (2020)
Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz
The Amazing World of Neural Language Generation. EMNLP (Tutorial Abstracts) (2020)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) (2020)
Hanjie Chen, Guangtao Zheng, Yangfeng Ji
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. ACL (2020)
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR (2020)
Hannah Chen, Yangfeng Ji, David Evans
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. CoRR (2020)
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. CoRR (2020)
Hanjie Chen, Yangfeng Ji
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation. CoRR (2019)
Wanyu Du, Yangfeng Ji
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. EMNLP/IJCNLP (1) (2019)
Wanyu Du, Yangfeng Ji
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. CoRR (2019)
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. IUI (2018)
Elizabeth Clark, Yangfeng Ji, Noah A. Smith
Neural Text Generation in Stories Using Entity Representations as Context. NAACL-HLT (2018)
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith
Dynamic Entity Representations in Neural Language Models. CoRR (2017)
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith
Dynamic Entity Representations in Neural Language Models. EMNLP (2017)
Yangfeng Ji, Noah A. Smith
Neural Discourse Structure for Text Categorization. CoRR (2017)
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)
Yangfeng Ji, Noah A. Smith
Neural Discourse Structure for Text Categorization. ACL (1) (2017)
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models. CoRR (2016)
Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li
Multiplicative Representations for Unsupervised Semantic Role Induction. ACL (2) (2016)
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. HLT-NAACL (2016)
Yi Luan, Yangfeng Ji, Mari Ostendorf
LSTM based Conversation Models. CoRR (2016)
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL (2015)
Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein
Document Context Language Models. CoRR (2015)
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
Better Document-level Sentiment Analysis from RST Discourse Parsing. CoRR (2015)
Yangfeng Ji, Jacob Eisenstein
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations. Trans. Assoc. Comput. Linguistics 3 (2015)
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR (2015)
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR (2015)
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) (2015)
Yangfeng Ji, Jacob Eisenstein
Entity-Augmented Distributional Semantics for Discourse Relations. ICLR (Workshop) (2015)
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP (2015)
Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations. EMNLP (2015)
Yangfeng Ji, Hwajung Hong, Rosa I. Arriaga, Agata Rozga, Gregory D. Abowd, Jacob Eisenstein
Mining Themes and Interests in the Asperger's and Autism Community. CLPsych@ACL (2014)
Yangfeng Ji, Jacob Eisenstein
Representation Learning for Text-level Discourse Parsing. ACL (1) (2014)
Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji
Extracting Lexically Divergent Paraphrases from Twitter. Trans. Assoc. Comput. Linguistics 2 (2014)
Yangfeng Ji, Dilek Hakkani-Tür, Asli Celikyilmaz, Larry P. Heck, Gökhan Tür
A variational Bayesian model for user intent detection. ICASSP (2014)
Yangfeng Ji, Jacob Eisenstein
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations. CoRR (2014)
Yangfeng Ji, Jacob Eisenstein
Discriminative Improvements to Distributional Sentence Similarity. EMNLP (2013)
Yangfeng Ji, Tong Lin, Hongbin Zha
CDP Mixture Models for Data Clustering. ICPR (2010)
Yangfeng Ji, Tong Lin, Hongbin Zha
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. ICMLA (2009)