conftrace_

Xin Zou

21 papers · 2023–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+4 more ↓ 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (47) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9)
πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (72) πŸ’Ž Century Club (17) ⚑ Prolific Year (5)

Conferences

ACL (6) ICML (4) AAAI (3) EMNLP (2) NIPS (2) ICLR (1) JMLR (1) NAACL (1) SEMEVAL (1)

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