Yingjie Li
26 papers · 2019–2026 · 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.
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Research topics
Machine Learning
(19)
Natural Language Processing
(16)
Applications
(15)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(9)
Application Areas
(7)
Core Methods
(6)
Learning Types Β· Deep Learning
(5)
Architectures
(3)
Optimization & Theory
(3)
Computer Science
(2)
Models
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Resources & Methods
(2)
Keywords
stance detection
(9)
multi-task learning
(4)
text classification
(4)
large language model
(4)
zero-shot learning
(4)
data augmentation
(3)
knowledge distillation
(2)
attention mechanism
(2)
stance classification
(2)
natural language inference
(2)
natural language processing
(2)
sentiment analysis
(1)
self-supervised learning
(1)
domain adaptation
(1)
argument mining
(1)
data integration
(1)
model calibration
(1)
document summarization
(1)
social media analysis
(1)
benchmark evaluation
(1)
Papers
Analyzing and Internalizing Complex Policy Documents for LLM Agents
ACL 2026
Declarative Techniques for NL Queries over Heterogeneous Data
EMNLP 2025
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
ICML 2025
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization
ACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks
ACL 2025
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
NAACL 2024
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models
ACL 2024
DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset
COLING 2024
Differentiable Combinatorial Scheduling at Scale
ICML 2024
Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection
ACL 2024
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
NAACL 2024
ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation
ACL 2024
A New Direction in Stance Detection: Target-Stance Extraction in the Wild
ACL 2023
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection
ACL 2023
Distilling Calibrated Knowledge for Stance Detection
ACL 2023
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
EMNLP 2023
Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction
EMNLP 2023
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture
IJCAI 2023
SiWare: Contextual Understanding of Industrial Data for Situational Awareness
IJCAI 2023
A Multi-Task Learning Framework for Multi-Target Stance Detection
ACL 2021
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation
EMNLP 2021
P-Stance: A Large Dataset for Stance Detection in Political Domain
ACL 2021
Stance Detection in COVID-19 Tweets
ACL 2021
Target-Aware Data Augmentation for Stance Detection
NAACL 2021
Multi-Task Stance Detection with Sentiment and Stance Lexicons
EMNLP 2019
The LeVoice Far-Field Speech Recognition System for VOiCES from a Distance Challenge 2019
Interspeech 2019