papers

Publications (62)

cs.CL2022

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows

Jianqiao Zhao, Yanyang Li, Wanyu Du +4

cs.CL2015

Entity-Augmented Distributional Semantics for Discourse Relations

Yangfeng Ji, Jacob Eisenstein

cs.CL2016

LSTM based Conversation Models

Yi Luan, Yangfeng Ji, Mari Ostendorf

cs.LG2022

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

Stephanie Schoch, Haifeng Xu, Yangfeng Ji

cs.CL2021

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

Andrew Wang, Mohit Sudhakar, Yangfeng Ji

cs.CL2016

Document Context Language Models

Yangfeng Ji, Trevor Cohn, Lingpeng Kong +2

cs.CL2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53

cs.CL2023

Pre-training Transformers for Knowledge Graph Completion

Sanxing Chen, Hao Cheng, Xiaodong Liu +3

cs.CL2020

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

Hanjie Chen, Yangfeng Ji

cs.CL2020

Pointwise Paraphrase Appraisal is Potentially Problematic

Hannah Chen, Yangfeng Ji, David Evans

cs.CV2024

TPIE: Topology-Preserved Image Editing With Text Instructions

Nivetha Jayakumar, Srivardhan Reddy Gadila, Tonmoy Hossain +2

cs.CL2016

A Latent Variable Recurrent Neural Network for Discourse Relation Language Models

Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein

cs.CL2021

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Sanxing Chen, Xiaodong Liu, Jianfeng Gao +3

cs.DL2025

Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloys from Scientific Publications using Large Language Models

Shunshun Liu, Talon R. Booth, Yangfeng Ji +2

cs.CV2023

Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding

Yidan Sun, Qin Chao, Yangfeng Ji +1

cs.CL2022

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

Ruixuan Tang, Hanjie Chen, Yangfeng Ji

cs.CL2020

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

Sanxing Chen, Aidan San, Xiaodong Liu +1

cs.LG2025

SelectFormer: Private and Practical Data Selection for Transformers

Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

cs.CL2024

Does Differential Privacy Impact Bias in Pretrained NLP Models?

Md. Khairul Islam, Andrew Wang, Tianhao Wang +3

cs.CL2022

Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification

Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein

stat.ML2017

DyNet: The Dynamic Neural Network Toolkit

Graham Neubig, Chris Dyer, Yoav Goldberg +22

cs.CL2021

Contextualizing Variation in Text Style Transfer Datasets

Stephanie Schoch, Wanyu Du, Yangfeng Ji

cs.CL2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets

Michel Galley, Chris Brockett, Alessandro Sordoni +6

cs.CL2019

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation

Wanyu Du, Yangfeng Ji

cs.CL2022

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

Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah +1

cs.CL2020

Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation

Hanjie Chen, Yangfeng Ji

cs.CL2023

Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation

Wanyu Du, Yangfeng Ji

cs.CL2020

Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection

Hanjie Chen, Guangtao Zheng, Yangfeng Ji

cs.CL2017

Neural Discourse Structure for Text Categorization

Yangfeng Ji, Noah Smith

cs.CL2025

Unsupervised Concept Vector Extraction for Bias Control in LLMs

Hannah Cyberey, Yangfeng Ji, David Evans

cs.IR2024

Improve Temporal Awareness of LLMs for Sequential Recommendation

Zhendong Chu, Zichao Wang, Ruiyi Zhang +3

cs.CL2023

Efficient NLP Model Finetuning via Multistage Data Filtering

Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin +1

cs.CL2021

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

Wanyu Du, Yangfeng Ji

cs.LG2025

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection

Dane Williamson, Yangfeng Ji, Matthew Dwyer

cs.CV2025

CASE: Contrastive Activation for Saliency Estimation

Dane Williamson, Yangfeng Ji, Matthew Dwyer

cs.CL2017

Dynamic Entity Representations in Neural Language Models

Yangfeng Ji, Chenhao Tan, Sebastian Martschat +2

cs.CL2025

In-Context Learning (and Unlearning) of Length Biases

Stephanie Schoch, Yangfeng Ji

cs.CL2022

White-box Testing of NLP models with Mask Neuron Coverage

Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer +1

cs.CL2026

Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?

Hannah Cyberey, Yangfeng Ji, David Evans

cs.CL2023

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

Stephanie Schoch, Ritwick Mishra, Yangfeng Ji

cs.CV2025

IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping

Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga +7

cs.CL2025

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension

Saahith Janapati, Yangfeng Ji

cs.LG2025

RWKV-edge: Deeply Compressed RWKV for Resource-Constrained Devices

Wonkyo Choe, Yangfeng Ji, Felix Xiaozhu Lin

cs.CL2023

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

Aidan San, Yuan Zhuang, Jan Bakus +6

cs.CL2022

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

Wanyu Du, Hanjie Chen, Yangfeng Ji

cs.CL2022

Explaining Predictive Uncertainty by Looking Back at Model Explanations

Hanjie Chen, Wanyu Du, Yangfeng Ji

cs.CY2026

White-Box Sensitivity Auditing with Steering Vectors

Hannah Cyberey, Yangfeng Ji, David Evans

cs.CL2022

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

Hanjie Chen, Yangfeng Ji

cs.CL2021

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

Hanjie Chen, Song Feng, Jatin Ganhotra +4

cs.CL2014

One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations

Yangfeng Ji, Jacob Eisenstein

cs.CL2022

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

Wanyu Du, Jianqiao Zhao, Liwei Wang +1

cs.CL2015

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Alessandro Sordoni, Michel Galley, Michael Auli +6

cs.CL2025

Monte Carlo Sampling for Analyzing In-Context Examples

Stephanie Schoch, Yangfeng Ji

cs.CL2023

Improving Interpretability via Explicit Word Interaction Graph Layer

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava +3

cs.CL2024

Addressing Both Statistical and Causal Gender Fairness in NLP Models

Hannah Chen, Yangfeng Ji, David Evans

cs.CL2015

Better Document-level Sentiment Analysis from RST Discourse Parsing

Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein

cs.CL2022

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

Hannah Chen, Yangfeng Ji, David Evans

cs.CL2020

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

Hannah Chen, Yangfeng Ji, David Evans

cs.CL2021

Reevaluating Adversarial Examples in Natural Language

John X. Morris, Eli Lifland, Jack Lanchantin +2

cs.CL2025

Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors

Dane Williamson, Yangfeng Ji, Matthew Dwyer

cs.CL2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing

Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon +2

cs.CL2023

REV: Information-Theoretic Evaluation of Free-Text Rationales

Hanjie Chen, Faeze Brahman, Xiang Ren +3