Hanjie Chen
20 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (5) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (31)
π
Academic Marathon
(5)
π
Interdisciplinary Bridge
π¬
Deep Specialist
(15)
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club
(19)
β
The Questioner
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(89)
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Unstoppable
(6)
Conferences
ACL (5)
EMNLP (5)
NAACL (5)
AAAI (2)
EACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
text classification
(7)
model interpretability
(5)
large language model
(3)
neural network
(3)
few-shot learning
(2)
rationale evaluation
(2)
explainable nlp
(2)
neural text classifier
(2)
free-text rationale
(2)
explanation generation
(1)
multimodal learning
(1)
dialogue generation
(1)
feature selection
(1)
adversarial training
(1)
question answering
(1)
natural language inference
(1)
natural language processing
(1)
evaluation framework
(1)
model alignment
(1)
self-supervised learning
(1)
Papers
Generative Personality Simulation via Theory-Informed Structured Interview
EACL 2026
Learning Distribution-wise Control in Representation Space for Language Models
ICML 2025
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions
NAACL 2025
Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models
EMNLP 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
ACL 2025
SAFR: Neuron Redistribution for Interpretability
NAACL 2025
MiCEval: Unveiling Multimodal Chain of Thoughtβs Quality via Image Description and Reasoning Steps
NAACL 2025
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
ICLR 2025
RORA: Robust Free-Text Rationale Evaluation
ACL 2024
Explanation in the Era of Large Language Models
NAACL 2024
REV: Information-Theoretic Evaluation of Free-Text Rationales
ACL 2023
Improving Interpretability via Explicit Word Interaction Graph Layer
AAAI 2023
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification
EMNLP 2022
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
ACL 2022
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
EMNLP 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
AAAI 2022
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
NAACL 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP 2021
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
EMNLP 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
ACL 2020