Ruixuan Xiao
11 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (10) 👥 Mega-Team · Squad
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Century Club · Bronze
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Research topics
Machine Learning
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Learning Types · Machine Learning
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Artificial Intelligence
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Natural Language Processing
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Core AI
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Deep Learning
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Resources & Methods
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Core Methods
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Learning Types · Deep Learning
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Understanding
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Data Science & Analytics
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Applications · Data Science & Analytics
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Applications · Natural Language Processing
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Keywords
large language model
(5)
representation learning
(2)
representation alignment
(2)
semi-supervised learning
(2)
named entity recognition
(2)
benchmark evaluation
(2)
contrastive learning
(2)
in-context learning
(2)
multimodal large language model
(2)
multimodal learning
(1)
prompt engineering
(1)
natural language generation
(1)
cross-lingual transfer
(1)
partial label learning
(1)
zero-shot learning
(1)
synthetic data generation
(1)
label disambiguation
(1)
knowledge distillation
(1)
deep learning
(1)
natural language understanding
(1)
Papers
D.Va: Validate Your Demonstration First Before You Use It
ACL 2025
Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition
ACL 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
ACL 2025
RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis
ACL 2025
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
EMNLP 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
ACL 2024
Targeted Representation Alignment for Open-World Semi-Supervised Learning
CVPR 2024
Debiased and Denoised Entity Recognition from Distant Supervision
NeurIPS 2023
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
EMNLP 2023
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
IJCAI 2023
PiCO: Contrastive Label Disambiguation for Partial Label Learning
ICLR 2022