Yongrui Chen
19 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(14)
Natural Language Processing
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Machine Learning
(10)
Applications
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Deep Learning
(9)
Core AI
(9)
Learning Types Β· Machine Learning
(9)
Resources & Methods
(7)
Learning Types Β· Deep Learning
(6)
Learning Paradigms
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Core Methods
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Computer Vision
(2)
Generation
(2)
Knowledge & Reasoning
(1)
Keywords
large language model
(6)
few-shot learning
(4)
multimodal large language model
(3)
contrastive learning
(2)
knowledge editing
(2)
question answering
(2)
multimodal learning
(2)
continual learning
(2)
knowledge graph
(2)
table understanding
(2)
instruction tuning
(2)
fine-grained entity recognition
(1)
semi-supervised learning
(1)
multimodal entity recognition
(1)
benchmark evaluation
(1)
self-supervised learning
(1)
prompt-based learning
(1)
text classification
(1)
catastrophic forgetting
(1)
semantic parsing
(1)
Papers
TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws
AAAI 2026
Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
ACL 2025
Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models
ACL 2025
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
AAAI 2025
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
EMNLP 2025
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
ICML 2025
Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues
ACL 2024
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
NAACL 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
NAACL 2024
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing
ACL 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
NeurIPS 2024
CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction
ACL 2023
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
AAAI 2023
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
NeurIPS 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding
EMNLP 2023
Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction
EMNLP 2023
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity
IJCAI 2022
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
AAAI 2021
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
IJCAI 2020