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2020 – today
- 2024
[j3]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): 125-137 (2024)- [c45]Hannah Chen, Yangfeng Ji, David Evans:
Addressing Both Statistical and Causal Gender Fairness in NLP Models. NAACL-HLT (Findings) 2024: 561-582 - [i47]Hannah Chen, Yangfeng Ji, David Evans:
Addressing Both Statistical and Causal Gender Fairness in NLP Models. CoRR abs/2404.00463 (2024) - [i46]Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun:
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR abs/2405.02778 (2024) - [i45]Hannah Chen, Yangfeng Ji, David Evans:
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models. CoRR abs/2408.01285 (2024) - 2023
- [c44]Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi:
Improving Interpretability via Explicit Word Interaction Graph Layer. AAAI 2023: 13528-13537 - [c43]Stephanie Schoch, Ritwick Mishra, Yangfeng Ji:
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values. ACL (student) 2023: 266-275 - [c42]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: 284-294 - [c41]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) 2023: 2007-2030 - [c40]Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji:
Efficient NLP Model Finetuning via Multistage Data Filtering. IJCAI 2023: 4091-4099 - [i44]Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi:
Improving Interpretability via Explicit Word Interaction Graph Layer. CoRR abs/2302.02016 (2023) - [i43]Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao:
Pre-training Transformers for Knowledge Graph Completion. CoRR abs/2303.15682 (2023) - [i42]Stephanie Schoch, Ritwick Mishra, Yangfeng Ji:
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values. CoRR abs/2306.10165 (2023) - [i41]Xu Ouyang, Changhong Yang, Felix Xiaozhu Lin, Yangfeng Ji:
Secure and Effective Data Appraisal for Machine Learning. CoRR abs/2310.02373 (2023) - [i40]Wanyu Du, Yangfeng Ji:
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation. CoRR abs/2311.00953 (2023) - 2022
- [c39]Hanjie Chen, Yangfeng Ji:
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. AAAI 2022: 10463-10472 - [c38]Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji:
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning. Insights@ACL 2022: 144-153 - [c37]Ruixuan Tang, Hanjie Chen, Yangfeng Ji:
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. BlackboxNLP@EMNLP 2022: 356-370 - [c36]Hannah Chen, Yangfeng Ji, David E. Evans:
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. EMNLP 2022: 632-647 - [c35]Wanyu Du, Hanjie Chen, Yangfeng Ji:
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation. EMNLP (Findings) 2022: 2770-2784 - [c34]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: 10469-10483 - [c33]Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer
, Yanjun Qi:
White-box Testing of NLP models with Mask Neuron Coverage. NAACL-HLT (Findings) 2022: 1547-1558 - [c32]Stephanie Schoch, Haifeng Xu, Yangfeng Ji:
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification. NeurIPS 2022 - [i39]Hanjie Chen, Yangfeng Ji:
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs. CoRR abs/2201.03742 (2022) - [i38]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 abs/2202.06633 (2022) - [i37]Hanjie Chen, Yangfeng Ji:
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. CoRR abs/2203.12709 (2022) - [i36]Wanyu Du, Jianqiao Zhao, Liwei Wang, Yangfeng Ji:
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors. CoRR abs/2204.01227 (2022) - [i35]Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji:
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning. CoRR abs/2204.08039 (2022) - [i34]Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi:
White-box Testing of NLP models with Mask Neuron Coverage. CoRR abs/2205.05050 (2022) - [i33]Wanyu Du, Hanjie Chen, Yangfeng Ji:
Self-augmented Data Selection for Few-shot Dialogue Generation. CoRR abs/2205.09661 (2022) - [i32]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 abs/2205.12386 (2022) - [i31]Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji:
Efficient Model Finetuning for Text Classification via Data Filtering. CoRR abs/2207.14386 (2022) - [i30]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR abs/2210.04982 (2022) - [i29]Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein:
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification. CoRR abs/2210.11005 (2022) - [i28]Hannah Chen, Yangfeng Ji, David Evans:
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. CoRR abs/2210.11498 (2022) - [i27]Stephanie Schoch, Haifeng Xu, Yangfeng Ji:
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification. CoRR abs/2211.06800 (2022) - [i26]Ruixuan Tang, Hanjie Chen, Yangfeng Ji:
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. CoRR abs/2212.05327 (2022) - 2021
- [c31]Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi:
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. BlackboxNLP@EMNLP 2021: 420-434 - [c30]Wanyu Du, Yangfeng Ji:
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. EMNLP (Findings) 2021: 2175-2194 - [c29]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) 2021: 10395-10407 - [c28]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 - [c27]Stephanie Schoch, Wanyu Du, Yangfeng Ji:
Contextualizing Variation in Text Style Transfer Datasets. INLG 2021: 226-239 - [c26]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: 3917-3930 - [e1]Song Feng, Siva Reddy, Malihe Alikhani, He He, Yangfeng Ji, Mohit Iyyer, Zhou Yu:
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, DialDoc@ACL-IJCNLP 2021, Online, August 5, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-68-8 [contents] - [i25]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 abs/2102.01672 (2021) - [i24]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 abs/2104.04488 (2021) - [i23]Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi:
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. CoRR abs/2108.04990 (2021) - [i22]Stephanie Schoch, Wanyu Du, Yangfeng Ji:
Contextualizing Variation in Text Style Transfer Datasets. CoRR abs/2108.07871 (2021) - [i21]Wanyu Du, Yangfeng Ji:
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. CoRR abs/2109.01958 (2021) - [i20]Andrew Wang, Mohit Sudhakar, Yangfeng Ji:
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings. CoRR abs/2112.08346 (2021) - 2020
- [c25]Hannah Chen, Yangfeng Ji, David Evans:
Pointwise Paraphrase Appraisal is Potentially Problematic. ACL (student) 2020: 150-155 - [c24]Hanjie Chen, Guangtao Zheng, Yangfeng Ji:
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. ACL 2020: 5578-5593 - [c23]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: 2900-2912 - [c22]Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz:
The Amazing World of Neural Language Generation. EMNLP (Tutorial Abstracts) 2020: 37-42 - [c21]John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi:
Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) 2020: 3829-3839 - [c20]Hanjie Chen, Yangfeng Ji:
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. EMNLP (1) 2020: 4236-4251 - [c19]Hannah Chen, Yangfeng Ji, David E. Evans:
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. EMNLP (Findings) 2020: 4741-4751 - [i19]Hanjie Chen, Guangtao Zheng, Yangfeng Ji:
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. CoRR abs/2004.02015 (2020) - [i18]John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi:
Reevaluating Adversarial Examples in Natural Language. CoRR abs/2004.14174 (2020) - [i17]Hannah Chen, Yangfeng Ji, David Evans:
Pointwise Paraphrase Appraisal is Potentially Problematic. CoRR abs/2005.11996 (2020) - [i16]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR abs/2008.12813 (2020) - [i15]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 abs/2009.14809 (2020) - [i14]Hanjie Chen, Yangfeng Ji:
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. CoRR abs/2010.00667 (2020) - [i13]Hannah Chen, Yangfeng Ji, David Evans:
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. CoRR abs/2011.01856 (2020)
2010 – 2019
- 2019
- [c18]Wanyu Du, Yangfeng Ji:
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 6011-6017 - [i12]Wanyu Du, Yangfeng Ji:
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. CoRR abs/1908.10835 (2019) - [i11]Hanjie Chen, Yangfeng Ji:
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation. CoRR abs/1909.04225 (2019) - 2018
- [c17]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: 329-340 - [c16]Elizabeth Clark, Yangfeng Ji, Noah A. Smith:
Neural Text Generation in Stories Using Entity Representations as Context. NAACL-HLT 2018: 2250-2260 - 2017
- [c15]Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. ACL (1) 2017: 996-1005 - [c14]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. EMNLP 2017: 1830-1839 - [i10]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 abs/1701.03980 (2017) - [i9]Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. CoRR abs/1702.01829 (2017) - [i8]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. CoRR abs/1708.00781 (2017) - 2016
- [c13]Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li:
Multiplicative Representations for Unsupervised Semantic Role Induction. ACL (2) 2016 - [c12]Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. HLT-NAACL 2016: 332-342 - [i7]Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models. CoRR abs/1603.01913 (2016) - [i6]Yi Luan, Yangfeng Ji, Mari Ostendorf:
LSTM based Conversation Models. CoRR abs/1603.09457 (2016) - 2015
- [j2]Yangfeng Ji, Jacob Eisenstein:
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations. Trans. Assoc. Comput. Linguistics 3: 329-344 (2015) - [c11]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: 445-450 - [c10]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP 2015: 2212-2218 - [c9]Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein:
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations. EMNLP 2015: 2219-2224 - [c8]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: 196-205 - [c7]Yangfeng Ji, Jacob Eisenstein:
Entity-Augmented Distributional Semantics for Discourse Relations. ICLR (Workshop) 2015 - [i5]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 abs/1506.06714 (2015) - [i4]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 abs/1506.06863 (2015) - [i3]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. CoRR abs/1509.01599 (2015) - [i2]Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein:
Document Context Language Models. CoRR abs/1511.03962 (2015) - 2014
- [j1]Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji:
Extracting Lexically Divergent Paraphrases from Twitter. Trans. Assoc. Comput. Linguistics 2: 435-448 (2014) - [c6]Yangfeng Ji, Jacob Eisenstein:
Representation Learning for Text-level Discourse Parsing. ACL (1) 2014: 13-24 - [c5]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: 97-106 - [c4]Yangfeng Ji, Dilek Hakkani-Tür, Asli Celikyilmaz, Larry P. Heck, Gökhan Tür:
A variational Bayesian model for user intent detection. ICASSP 2014: 4072-4076 - [i1]Yangfeng Ji, Jacob Eisenstein:
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations. CoRR abs/1411.6699 (2014) - 2013
- [c3]Yangfeng Ji, Jacob Eisenstein:
Discriminative Improvements to Distributional Sentence Similarity. EMNLP 2013: 891-896 - 2010
- [c2]Yangfeng Ji, Tong Lin, Hongbin Zha:
CDP Mixture Models for Data Clustering. ICPR 2010: 637-640
2000 – 2009
- 2009
- [c1]Yangfeng Ji, Tong Lin, Hongbin Zha:
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. ICMLA 2009: 41-46
Coauthor Index
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