Xin Zou
21 papers · 2023–2026 · 9 conferences · across top CS/AI conferences
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ACL (6)
ICML (4)
AAAI (3)
EMNLP (2)
NIPS (2)
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JMLR (1)
NAACL (1)
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Keywords
multimodal large language model
(5)
benchmark evaluation
(3)
persuasion detection
(3)
adversarial robustness
(2)
data augmentation
(2)
knowledge distillation
(2)
out-of-distribution generalization
(2)
large language model
(2)
multilingual nlp
(1)
uncertainty quantification
(1)
few-shot learning
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visual question answering
(1)
information bottleneck
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text classification
(1)
robust optimization
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multi-label classification
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multimodal learning
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ensemble learning
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convergence analysis
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cross-lingual transfer
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Papers
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
ACL 2026
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning
AAAI 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
AAAI 2026
Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods
ACL 2026
Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning
ACL 2025
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis
EMNLP 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
EMNLP 2025
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
ICLR 2025
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
ICML 2025
An Online Statistical Framework for Out-of-Distribution Detection
ICML 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
ICML 2025
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
ACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
ACL 2025
A Provable Decision Rule for Out-of-Distribution Detection
ICML 2024
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
NIPS 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
AAAI 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
NAACL 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
SEMEVAL 2024
Generalization Bounds for Adversarial Contrastive Learning
JMLR 2023
On the Adversarial Robustness of Out-of-distribution Generalization Models
NIPS 2023