Yue Zhao
73 papers · 2015–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 26 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 Yue Zhao?
10 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 Xiyang Hu, Tiankai Yang, Li Li
22 papers
· 2021–2026
· ACL, NeurIPS, EMNLP
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A Survey on LLM-based Conversational User Simulation
EACL 2026
CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
ACL 2026
Defenses Against Prompt Attacks Learn Surface Heuristics
ACL 2026
Mitigating Hallucinations in Large Language Models via Causal Reasoning
AAAI 2026
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
IJCNLP 2025
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025
Convert Language Model into a Value-based Strategic Planner
ACL 2025
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
CVPR 2025
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling
EMNLP 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
CVPR 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
MetaOOD: Automatic Selection of OOD Detection Models
ICLR 2025
NLP-ADBench: NLP Anomaly Detection Benchmark
EMNLP 2025
Secure On-Device Video OOD Detection Without Backpropagation
ICCV 2025
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models
NAACL 2025
Treble Counterfactual VLMs: A Causal Approach to Hallucination
EMNLP 2025
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
NeurIPS 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
ADGym: Design Choices for Deep Anomaly Detection
NeurIPS 2023
ADBench: Anomaly Detection Benchmark
NeurIPS 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NeurIPS 2022
TODS: An Automated Time Series Outlier Detection System
AAAI 2021
16 papers whose co-authors appear nowhere else under this name
Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
EACL 2026
StreamDiT: Real-Time Streaming Text-to-Video Generation
CVPR 2026
LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective
IJCNLP 2025
Multivariate Conformal Selection
ICML 2025
One-Minute Video Generation with Test-Time Training
CVPR 2025
Bayesian Diffusion Models for 3D Shape Reconstruction
CVPR 2024
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
NeurIPS 2024
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
ICML 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection
AAAI 2024
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
ICML 2023
BA-Net: Bridge Attention for Deep Convolutional Neural Networks
ECCV 2022
Clues Before Answers: Generation-Enhanced Multiple-Choice QA
NAACL 2022
PyOD: A Python Toolbox for Scalable Outlier Detection
JMLR 2019
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention
ACL 2018
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
ICML 2015