Xiaoyu Liu
40 papers · 2018–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiaoyu Liu?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Furong Huang, Yuhang Zhou, Xiyao Wang
10 papers
· 2022–2025
· EMNLP, ICLR, ACL
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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
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
EMNLP 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
CVPR 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
NeurIPS 2023
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency
ICLR 2022
10 papers whose co-authors appear nowhere else under this name
A Framework for Effective Invocation Methods of Various LLM Services
COLING 2025
Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes
MICCAI 2025
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
WACV 2025
Prompting Fairness: Integrating Causality to Debias Large Language Models
ICLR 2025
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling
EMNLP 2025
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
NAACL 2024
MaskSR: Masked Language Model for Full-band Speech Restoration
Interspeech 2024
Histogram Transform Ensembles for Large-scale Regression
JMLR 2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
EMNLP 2021
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation
IJCAI 2018