Paiheng Xu
8 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(5)
Application Areas
(4)
Applications Β· Natural Language Processing
(4)
Learning Types
(4)
Artificial Intelligence
(3)
Resources & Methods
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Applications Β· Data Science & Analytics
(1)
Keywords
text classification
(3)
domain generalization
(2)
large language model
(2)
domain adaptation
(1)
text analysis
(1)
latent dirichlet allocation
(1)
sentiment analysis
(1)
in-context learning
(1)
social media analysis
(1)
topic modeling
(1)
reinforcement learning from human feedback
(1)
multimodal learning
(1)
semantic analysis
(1)
causal effect estimation
(1)
policy learning
(1)
knowledge distillation
(1)
skill discovery
(1)
topic model
(1)
language model
(1)
causal reasoning
(1)
Papers
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
EACL 2026
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models
ACL 2025
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
NAACL 2024
Using Noisy Self-Reports to Predict Twitter User Demographics
NAACL 2021