Yu Xia
26 papers · 2012–2026 · 12 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.
Achievements
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πΊοΈ Taxonomy Completionist (65) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π₯ Mega-Team Β· Squad
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
ποΈ
Keyword Collector
(123)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(7)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(17)
Machine Learning
(17)
Core AI
(16)
Natural Language Processing
(15)
Learning Types Β· Machine Learning
(12)
Deep Learning
(9)
Learning Types Β· Deep Learning
(7)
Applications
(6)
Application Areas
(5)
Core Methods
(5)
Generation
(5)
Optimization & Theory
(4)
Resources & Methods
(4)
Learning Paradigms
(3)
Understanding
(3)
Keywords
large language model
(11)
reinforcement learning
(3)
question answering
(3)
text classification
(2)
multimodal learning
(2)
active learning
(2)
agent system
(2)
gradient descent
(2)
continual learning
(2)
retrieval-augmented generation
(2)
reward modeling
(2)
contrastive learning
(2)
transfer learning
(2)
text generation
(2)
named entity recognition
(2)
knowledge graph
(2)
explainable question answering
(1)
question decomposition
(1)
in-context learning
(1)
knowledge distillation
(1)
Papers
A Survey on LLM-based Conversational User Simulation
EACL 2026
CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
ACL 2026
AgentRM: Enhancing Agent Generalization with Reward Modeling
ACL 2025
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
COLING 2025
Doc-React: Multi-page Heterogeneous Document Question-answering
ACL 2025
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
COLING 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
GUI Agents: A Survey
ACL 2025
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
NAACL 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
EMNLP 2025
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
ICLR 2025
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
EMNLP 2025
Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling
CoRL 2025
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
NAACL 2024
Hallucination Diversity-Aware Active Learning for Text Summarization
NAACL 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
NeurIPS 2024
Contrastive Bootstrapping for Label Refinement
ACL 2023
Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood
ACL 2023
A Transition-based Method for Complex Question Understanding
COLING 2022
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models
CoNLL 2022
Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning
EMNLP 2022
Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples
ACL 2022
Low Resource Style Transfer via Domain Adaptive Meta Learning
NAACL 2022
Promoting Pre-trained LM with Linguistic Features on Automatic Readability Assessment
AACL 2022
Head Pose Estimation Based on Multivariate Label Distribution
CVPR 2014
Active Clustering of Biological Sequences
JMLR 2012