Hanjie Chen
20 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🤝 Dynamic Duo (10)
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Deep Specialist
(15)
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(97)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(19)
Core AI
(17)
Machine Learning
(11)
Natural Language Processing
(11)
Deep Learning
(8)
Applications
(7)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Learning Paradigms
(4)
Resources & Methods
(4)
Architectures
(3)
Generation
(3)
Learning Types · Deep Learning
(3)
Application Areas
(2)
Optimization & Theory
(2)
Keywords
text classification
(7)
model interpretability
(5)
few-shot learning
(3)
large language model
(3)
neural network
(3)
rationale evaluation
(2)
explainable nlp
(2)
free-text rationale
(2)
neural text classifier
(2)
multimodal learning
(1)
dialogue generation
(1)
chain-of-thought reasoning
(1)
feature selection
(1)
explanation generation
(1)
question answering
(1)
natural language inference
(1)
natural language processing
(1)
feature attribution
(1)
task-oriented dialogue
(1)
self-supervised learning
(1)
Papers
Generative Personality Simulation via Theory-Informed Structured Interview
EACL 2026
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
Learning Distribution-wise Control in Representation Space for Language Models
ICML 2025
MiCEval: Unveiling Multimodal Chain of Thought’s Quality via Image Description and Reasoning Steps
NAACL 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
ACL 2025
SAFR: Neuron Redistribution for Interpretability
NAACL 2025
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
ICLR 2025
Explanation in the Era of Large Language Models
NAACL 2024
RORA: Robust Free-Text Rationale Evaluation
ACL 2024
Improving Interpretability via Explicit Word Interaction Graph Layer
AAAI 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales
ACL 2023
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
AAAI 2022
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
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
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
ACL 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
EMNLP 2020