Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. - Yangfeng Ji; Tong Lin 002; Hongbin Zha (ICMLA, 2009)

CDP Mixture Models for Data Clustering. - Yangfeng Ji; Tong Lin 002; Hongbin Zha (ICPR, 2010)

Discriminative Improvements to Distributional Sentence Similarity. - Yangfeng Ji; Jacob Eisenstein (EMNLP, 2013)

Mining Themes and Interests in the Asperger's and Autism Community. - Yangfeng Ji; Hwajung Hong; Rosa I. Arriaga; Agata Rozga; Gregory D. Abowd; Jacob Eisenstein (CLPsych@ACL, 2014)

Representation Learning for Text-level Discourse Parsing. - Yangfeng Ji; Jacob Eisenstein (ACL (1), 2014)

A variational Bayesian model for user intent detection. - Yangfeng Ji; Dilek Hakkani-Tür; Asli Celikyilmaz; Larry P. Heck; Gökhan Tür (ICASSP, 2014)

One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations. - Yangfeng Ji; Jacob Eisenstein (CoRR, 2014)

Extracting Lexically Divergent Paraphrases from Twitter. - Wei Xu 004; Alan Ritter; Chris Callison-Burch; William B. Dolan; Yangfeng Ji (Trans. Assoc. Comput. Linguistics, 2014)

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. - Michel Galley; Chris Brockett; Alessandro Sordoni; Yangfeng Ji; Michael Auli; Chris Quirk; Margaret Mitchell; Jianfeng Gao 001; Bill Dolan (ACL (2), 2015)

Better Document-level Sentiment Analysis from RST Discourse Parsing. - Parminder Bhatia; Yangfeng Ji; Jacob Eisenstein (EMNLP, 2015)

Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations. - Yangfeng Ji; Gongbo Zhang; Jacob Eisenstein (EMNLP, 2015)

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. - Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao 001; Bill Dolan (HLT-NAACL, 2015)

Document Context Language Models. - Yangfeng Ji; Trevor Cohn; Lingpeng Kong; Chris Dyer; Jacob Eisenstein (CoRR, 2015)

Entity-Augmented Distributional Semantics for Discourse Relations. - Yangfeng Ji; Jacob Eisenstein (ICLR (Workshop), 2015)

One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations. - Yangfeng Ji; Jacob Eisenstein (Trans. Assoc. Comput. Linguistics, 2015)

Multiplicative Representations for Unsupervised Semantic Role Induction. - Yi Luan; Yangfeng Ji; Hannaneh Hajishirzi; Boyang Li 001 (ACL (2), 2016)

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. - Yangfeng Ji; Gholamreza Haffari; Jacob Eisenstein (HLT-NAACL, 2016)

A Latent Variable Recurrent Neural Network for Discourse Relation Language Models. - Yangfeng Ji; Gholamreza Haffari; Jacob Eisenstein (CoRR, 2016)

LSTM based Conversation Models. - Yi Luan; Yangfeng Ji; Mari Ostendorf (CoRR, 2016)

Semantic representation learning for discourse processing. - Yangfeng Ji (2016)

Neural Discourse Structure for Text Categorization. - Yangfeng Ji; Noah A. Smith (ACL (1), 2017)

Dynamic Entity Representations in Neural Language Models. - Yangfeng Ji; Chenhao Tan; Sebastian Martschat; Yejin Choi 001; Noah A. Smith (EMNLP, 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. - Elizabeth Clark; Anne Spencer Ross; Chenhao Tan; Yangfeng Ji; Noah A. Smith (IUI, 2018)

Neural Text Generation in Stories Using Entity Representations as Context. - Elizabeth Clark; Yangfeng Ji; Noah A. Smith (NAACL-HLT, 2018)

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. - Wanyu Du; Yangfeng Ji (EMNLP/IJCNLP (1), 2019)

Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation. - Hanjie Chen; Yangfeng Ji (CoRR, 2019)

Pointwise Paraphrase Appraisal is Potentially Problematic. - Hannah Chen 001; Yangfeng Ji; David Evans 001 (ACL (student), 2020)

Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. - Hanjie Chen; Guangtao Zheng; Yangfeng Ji (ACL, 2020)

A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. - Sanxing Chen; Aidan San; Xiaodong Liu 003; Yangfeng Ji (COLING, 2020)

Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. - Hanjie Chen; Yangfeng Ji (EMNLP (1), 2020)

Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. - Hannah Chen 001; Yangfeng Ji; David E. Evans 001 (EMNLP (Findings), 2020)

The Amazing World of Neural Language Generation. - Yangfeng Ji; Antoine Bosselut; Thomas Wolf 008; Asli Celikyilmaz (EMNLP (Tutorial Abstracts), 2020)

Reevaluating Adversarial Examples in Natural Language. - John X. Morris; Eli Lifland; Jack Lanchantin; Yangfeng Ji; Yanjun Qi (EMNLP (Findings), 2020)

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. - Sanchit Sinha; Hanjie Chen; Arshdeep Sekhon; Yangfeng Ji; Yanjun Qi (BlackboxNLP@EMNLP, 2021)

HittER: Hierarchical Transformers for Knowledge Graph Embeddings. - Sanxing Chen; Xiaodong Liu 003; Jianfeng Gao 001; Jian Jiao 007; Ruofei Zhang; Yangfeng Ji (EMNLP (1), 2021)

SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. - Wanyu Du; Yangfeng Ji (EMNLP (Findings), 2021)

Charging at Second Culmination? Optimal Freemium Pricing for E-books via Field Experiment and Text Analysis. - Hanbing Xue; Yongjun Li 001; Natasha Zhang Foutz; Yangfeng Ji (ICIS, 2021)

Contextualizing Variation in Text Style Transfer Datasets. - Stephanie Schoch; Wanyu Du; Yangfeng Ji (INLG, 2021)

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. - Hanjie Chen; Song Feng 002; Jatin Ganhotra; Hui Wan 001; R. Chulaka Gunasekara; Sachindra Joshi; Yangfeng Ji (NAACL-HLT, 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings. - Andrew Wang; Mohit Sudhakar; Yangfeng Ji (CoRR, 2021)

Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. - Hanjie Chen; Yangfeng Ji (AAAI, 2022)

Pathologies of Pre-trained Language Models in Few-shot Fine-tuning. - Hanjie Chen; Guoqing Zheng; Ahmed Hassan Awadallah; Yangfeng Ji (Insights@ACL, 2022)

Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. - Ruixuan Tang; Hanjie Chen; Yangfeng Ji (BlackboxNLP@EMNLP, 2022)

Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. - Hannah Chen 001; Yangfeng Ji; David E. Evans 001 (EMNLP, 2022)

Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation. - Wanyu Du; Hanjie Chen; Yangfeng Ji (EMNLP (Findings), 2022)

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. - Jianqiao Zhao; Yanyang Li; Wanyu Du; Yangfeng Ji; Dong Yu 001; Michael R. Lyu; Liwei Wang 009 (EMNLP, 2022)

White-box Testing of NLP models with Mask Neuron Coverage. - Arshdeep Sekhon; Yangfeng Ji; Matthew B. Dwyer; Yanjun Qi (NAACL-HLT (Findings), 2022)

CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification. - Stephanie Schoch; Haifeng Xu; Yangfeng Ji (NeurIPS, 2022)

Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs. - Hanjie Chen; Yangfeng Ji (CoRR, 2022)

Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors. - Wanyu Du; Jianqiao Zhao; Liwei Wang; Yangfeng Ji (CoRR, 2022)

Self-augmented Data Selection for Few-shot Dialogue Generation. - Wanyu Du; Hanjie Chen; Yangfeng Ji (CoRR, 2022)

PLAtE: A Large-scale Dataset for List Page Web Extraction. - Aidan San; Jan Bakus; Colin Lockard; David M. Ciemiewicz; Yangfeng Ji; Sandeep Atluri; Kevin Small; Heba Elfardy (CoRR, 2022)

Efficient Model Finetuning for Text Classification via Data Filtering. - Xu Ouyang; Shahina Mohd Azam Ansari; Felix Xiaozhu Lin; Yangfeng Ji (CoRR, 2022)

Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification. - Murali Raghu Babu Balusu; Yangfeng Ji; Jacob Eisenstein (CoRR, 2022)

Improving Interpretability via Explicit Word Interaction Graph Layer. - Arshdeep Sekhon; Hanjie Chen; Aman Shrivastava; Zhe Wang 025; Yangfeng Ji; Yanjun Qi (AAAI, 2023)

REV: Information-Theoretic Evaluation of Free-Text Rationales. - Hanjie Chen; Faeze Brahman; Xiang Ren 001; Yangfeng Ji; Yejin Choi 001; Swabha Swayamdipta (ACL (1), 2023)

PLAtE: A Large-scale Dataset for List Page Web Extraction. - Aidan San; Yuan Zhuang; Jan Bakus; Colin Lockard; David M. Ciemiewicz; Sandeep Atluri; Kevin Small; Yangfeng Ji; Heba Elfardy (ACL (industry), 2023)

Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values. - Stephanie Schoch; Ritwick Mishra; Yangfeng Ji (ACL (student), 2023)

Efficient NLP Model Finetuning via Multistage Data Filtering. - Xu Ouyang; Shahina Mohd Azam Ansari; Felix Xiaozhu Lin; Yangfeng Ji (IJCAI, 2023)

Pre-training Transformers for Knowledge Graph Completion. - Sanxing Chen; Hao Cheng 002; Xiaodong Liu 003; Jian Jiao 007; Yangfeng Ji; Jianfeng Gao 001 (CoRR, 2023)

Secure and Effective Data Appraisal for Machine Learning. - Xu Ouyang; Changhong Yang; Felix Xiaozhu Lin; Yangfeng Ji (CoRR, 2023)

Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation. - Wanyu Du; Yangfeng Ji (CoRR, 2023)

Addressing Both Statistical and Causal Gender Fairness in NLP Models. - Hannah Chen 001; Yangfeng Ji; David Evans 001 (NAACL-HLT (Findings), 2024)

Improve Temporal Awareness of LLMs for Sequential Recommendation. - Zhendong Chu; Zichao Wang 001; Ruiyi Zhang 002; Yangfeng Ji; Hongning Wang; Tong Sun 005 (CoRR, 2024)

The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models. - Hannah Chen 001; Yangfeng Ji; David Evans 001 (CoRR, 2024)

Does Differential Privacy Impact Bias in Pretrained NLP Models? - Md. Khairul Islam; Andrew Wang; Tianhao Wang; Yangfeng Ji; Judy Fox; Jieyu Zhao 001 (CoRR, 2024)

TPIE: Topology-Preserved Image Editing With Text Instructions. - Nivetha Jayakumar; Srivardhan Reddy Gadila; Tonmoy Hossain; Yangfeng Ji; Miaomiao Zhang 002 (CoRR, 2024)

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension. - Saahith Janapati; Yangfeng Ji (CoRR, 2024)

RWKV-edge: Deeply Compressed RWKV for Resource-Constrained Devices. - Wonkyo Choe; Yangfeng Ji; Felix Xiaozhu Lin (CoRR, 2024)

Does Differential Privacy Impact Bias in Pretrained Language Models? - Md. Khairul Islam; Andrew Wang; Tianhao Wang; Yangfeng Ji; Judy Fox; Jieyu Zhao 001 (IEEE Data Eng. Bull., 2024)

Design of a wire-driven parallel robot for wind tunnel test based on the analysis of stiffness and workspace. - Yangfeng Ji; Miaojiao Peng; Qi Lin (Robotica, 2024)

SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation. - Xu Ouyang; Felix Xiaozhu Lin; Yangfeng Ji (ICLR, 2025)

In-Context Learning (and Unlearning) of Length Biases. - Stephanie Schoch; Yangfeng Ji (NAACL (Long Papers), 2025)

Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs. - Hannah Cyberey; Yangfeng Ji; David Evans 001 (CoRR, 2025)

Monte Carlo Sampling for Analyzing In-Context Examples. - Stephanie Schoch; Yangfeng Ji (CoRR, 2025)

IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping. - Nibir Chandra Mandal; Oishee Bintey Hoque; Abhijin Adiga; Samarth Swarup; Mandy L. Wilson; Lu Feng; Yangfeng Ji; Miaomiao Zhang; Geoffrey C. Fox; Madhav V. Marathe (CoRR, 2025)

CASE: Contrastive Activation for Saliency Estimation. - Dane Williamson; Yangfeng Ji; Matthew Dwyer 001 (CoRR, 2025)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection. - Dane Williamson; Yangfeng Ji; Matthew B. Dwyer (CoRR, 2025)