Xin Zou
20 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Keywords
multimodal large language model
(5)
benchmark evaluation
(3)
persuasion detection
(2)
hallucinations
(2)
false discovery rate
(2)
adversarial robustness
(2)
false positive rate
(2)
knowledge distillation
(2)
multimodal learning
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large language model
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out-of-distribution generalization
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out-of-distribution detection
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visual question answering
(1)
uncertainty quantification
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information bottleneck
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text classification
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robust optimization
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contrastive learning
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Papers
Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods
ACL 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
AAAI 2026
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning
AAAI 2026
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
ACL 2026
An Online Statistical Framework for Out-of-Distribution Detection
ICML 2025
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
ACL 2025
Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning
ACL 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
EMNLP 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
ICML 2025
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
ICLR 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis
EMNLP 2025
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
ICML 2025
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
ACL 2025
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
NeurIPS 2024
A Provable Decision Rule for Out-of-Distribution Detection
ICML 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
SemEval 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
AAAI 2024
Generalization Bounds for Adversarial Contrastive Learning
JMLR 2023
On the Adversarial Robustness of Out-of-distribution Generalization Models
NeurIPS 2023