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Yangfeng Ji

51 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (76) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (10) πŸ‘₯ Mega-Team (56) πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ’Ž Century Club (51) πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (194) πŸ“ˆ Trend Setter

Conferences

EMNLP (20) ACL (11) NAACL (11) IJCNLP (3) AAAI (2) COLING (1) ICLR (1) IJCAI (1) NIPS (1)

Top co-authors

Hanjie Chen (10) Wanyu Du (7) David Evans (6) Jacob Eisenstein (5) Stephanie Schoch (5) Hannah Chen (4) Yanjun Qi (4) Jianfeng Gao (4) Arshdeep Sekhon (3) Bill Dolan (3)

Research topics

Statistics (1)

Keywords

text classification (8) large language model (6) model interpretability (5) in-context learning (4) natural language processing (3) model robustness (3) transfer learning (3) text generation (3) adversarial example (3) contrastive learning (3) few-shot learning (3) natural language inference (3) neural network (3) data valuation (3) paraphrase generation (2) reinforcement learning (2) imitation learning (2) prompt engineering (2) data augmentation (2) representation learning (2)

Papers

Syntactic Blind Spots: How Misalignment Leads to LLMs’ Mathematical Errors EMNLP 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025
Unsupervised Concept Vector Extraction for Bias Control in LLMs EMNLP 2025
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension NAACL 2025
Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs? NAACL 2025
In-Context Learning (and Unlearning) of Length Biases NAACL 2025
SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation ICLR 2025
Improving Aspect-Based Summarization via Contrastive Learning with Anchored Negative Examples EMNLP 2025
Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024
PLAtE: A Large-scale Dataset for List Page Web Extraction ACL 2023
Improving Interpretability via Explicit Word Interaction Graph Layer AAAI 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values ACL 2023
Efficient NLP Model Finetuning via Multistage Data Filtering IJCAI 2023
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification NIPS 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning ACL 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows EMNLP 2022
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation EMNLP 2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification EMNLP 2022
Contrastive Data and Learning for Natural Language Processing NAACL 2022
White-box Testing of NLP models with Mask Neuron Coverage NAACL 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics IJCNLP 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ACL 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021
HittER: Hierarchical Transformers for Knowledge Graph Embeddings EMNLP 2021
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks EMNLP 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks NAACL 2021
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection ACL 2020
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing COLING 2020
Pointwise Paraphrase Appraisal is Potentially Problematic ACL 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers EMNLP 2020
The Amazing World of Neural Language Generation EMNLP 2020
Reevaluating Adversarial Examples in Natural Language EMNLP 2020
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation IJCNLP 2019
Neural Text Generation in Stories Using Entity Representations as Context NAACL 2018
Neural Discourse Structure for Text Categorization ACL 2017
Dynamic Entity Representations in Neural Language Models EMNLP 2017
Multiplicative Representations for Unsupervised Semantic Role Induction ACL 2016
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models NAACL 2016
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets IJCNLP 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses NAACL 2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ACL 2015
Better Document-level Sentiment Analysis from RST Discourse Parsing EMNLP 2015
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations EMNLP 2015
Representation Learning for Text-level Discourse Parsing ACL 2014
Discriminative Improvements to Distributional Sentence Similarity EMNLP 2013