Irene Li
25 papers · 2018–2026 · 6 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
Natural Language Processing
(18)
Machine Learning
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Artificial Intelligence
(12)
Applications
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Core AI
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Deep Learning
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Core Methods
(8)
Learning Types Β· Machine Learning
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Keywords
large language model
(5)
graph neural network
(4)
text classification
(4)
variational graph autoencoder
(3)
prerequisite chain learning
(3)
knowledge graph
(3)
transfer learning
(3)
survey generation
(2)
attention mechanism
(2)
language model
(2)
graph autoencoder
(2)
concept learning
(2)
semantic parsing
(2)
prerequisite chain
(2)
benchmark evaluation
(2)
educational resources
(2)
variational autoencoder
(2)
low-resource language
(2)
prerequisite learning
(2)
graph representation learning
(1)
Papers
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
EACL 2026
JiraiBench: A Bilingual Benchmark for Evaluating Large Language Modelsβ Detection of Human risky health behavior Content in Jirai Community
EACL 2026
MED-COREASONER: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning
ACL 2026
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
AAAI 2026
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
ACL 2025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
EMNLP 2025
Better Explain Transformers by Illuminating Important Information
EACL 2024
Evaluating Large Language Models on Wikipedia-Style Survey Generation
ACL 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
ACL 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
ACL 2024
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation
ACL 2023
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences
AAAI 2023
HiPool: Modeling Long Documents Using Graph Neural Networks
ACL 2023
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
NAACL 2022
Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution
ACL 2022
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting
ACL 2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
ACL 2021
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
COLING 2020
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
ACL 2019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
AAAI 2019
SParC: Cross-Domain Semantic Parsing in Context
ACL 2019
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
AAAI 2019
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
EMNLP 2018
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation
ACL 2018