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Conferences
Kaidi Xu
29 papers at tracked venues · 20 at CORE A* · active 2024–2026
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Venues
ACL
×4
CVPR
×4
AAAI
×3
EMNLP
×3
ICML
×3
NAACL
×3
ACM MM
×2
NeurIPS
×2
EACL
×1
ECCV
×1
ICCV
×1
ICLR
×1
RSS
×1
Frequent coauthors
Jinhao Duan
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×5
Zhiyuan Wang
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×3
Hao Cheng
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×3
Fei Kong
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×2
Zijie Liu
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×1
Haozhi Fan
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×1
Xiaoyun Zhang
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×1
Pucheng Dang
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×1
Wenhao Hu
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×1
Shrey Pandit
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×1
Xu Zhang
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×1
Zhuoxuan Zhang
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×1
Papers
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
AAAI 2026
·
Zhiyuan Wang
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Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations
EACL 2026
·
Zijie Liu
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IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation
ACL 2026
·
Haozhi Fan
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Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
AAAI 2026
·
Xiaoyun Zhang
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DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
NAACL 2025
·
Pucheng Dang
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DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
ACL 2025
·
Wenhao Hu
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GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
NAACL 2025
·
Jinhao Duan
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MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
EMNLP 2025
·
Shrey Pandit
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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
CVPR 2025
·
Hao Cheng
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Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
ICML 2025
·
Xu Zhang
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SConU: Selective Conformal Uncertainty in Large Language Models
ACL 2025
·
Zhiyuan Wang
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Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
EMNLP 2025
·
Zhuoxuan Zhang
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Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
ACM MM 2025
·
Hao Cheng
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TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention
ICCV 2025
·
Jinhao Duan
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ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models
CVPR 2024
·
Fei Kong
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An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
ICLR 2024
·
Fei Kong
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Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
CVPR 2024
·
Zhengyue Zhao
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Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
ACM MM 2024
·
Jin Sun
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ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
·
Zhiyuan Wang
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Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
·
Junyuan Hong
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Dynamic Adversarial Attacks on Autonomous Driving Systems
RSS 2024
·
Amirhosein Chahe
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E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
CVPR 2024
·
Aref Azizpour
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GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
NeurIPS 2024
·
Jinhao Duan
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NN4SysBench: Characterizing Neural Network Verification for Computer Systems
NeurIPS 2024
·
Shuyi Lin
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Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
·
Yue Huang
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ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
NAACL 2024
·
Jinhao Duan
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Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
ACL 2024
·
Jinhao Duan
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Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
AAAI 2024
·
Yixin Liu
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Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models
ECCV 2024
·
Hao Cheng
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