Jiaao Chen
28 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(21)
Natural Language Processing
(19)
Artificial Intelligence
(15)
Deep Learning
(14)
Core AI
(14)
Learning Types Β· Machine Learning
(12)
Application Areas
(9)
Learning Types Β· Deep Learning
(9)
Generation
(8)
Applications
(7)
Resources & Methods
(5)
Models
(4)
Understanding
(4)
Core Methods
(3)
Optimization & Theory
(3)
Keywords
large language model
(5)
abstractive summarization
(5)
data augmentation
(5)
semi-supervised learning
(4)
text generation
(4)
text classification
(3)
dialogue summarization
(3)
language model
(3)
conversation summarization
(2)
reinforcement learning
(2)
discourse relation
(2)
natural language processing
(2)
data contamination
(2)
dynamic evaluation
(2)
persuasion detection
(2)
diffusion model
(2)
representation learning
(2)
named entity recognition
(2)
natural language understanding
(2)
natural language inference
(1)
Papers
WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning
EACL 2026
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
NeurIPS 2024
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
EMNLP 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
ICLR 2024
Skills-in-Context: Unlocking Compositionality in Large Language Models
EMNLP 2024
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
EMNLP 2023
Compositional Data Augmentation for Abstractive Conversation Summarization
ACL 2023
Controllable Conversation Generation with Conversation Structures via Diffusion Models
ACL 2023
Human-in-the-loop Abstractive Dialogue Summarization
ACL 2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
EMNLP 2023
Mitigating Biases in Hate Speech Detection from A Causal Perspective
EMNLP 2023
Parameter-Efficient Fine-Tuning Design Spaces
ICLR 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
EMNLP 2023
Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization
ACL 2022
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition
ACL 2022
VALUE: Understanding Dialect Disparity in NLU
ACL 2022
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
EMNLP 2022
Continual Learning for Text Classification with Information Disentanglement Based Regularization
NAACL 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability
ACL 2021
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization
EMNLP 2021
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs
NAACL 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests
AAAI 2021
Examining the Ordering of Rhetorical Strategies in Persuasive Requests
EMNLP 2020
Local Additivity Based Data Augmentation for Semi-supervised NER
EMNLP 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
ACL 2020
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
EMNLP 2020
Incorporating Structured Commonsense Knowledge in Story Completion
AAAI 2019
Letβs Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms
NAACL 2019