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Yueqi Xie

Measuring Human Contribution in AI-Assisted Content Generation

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Aug 27, 2024
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Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation

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Mar 17, 2024
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GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis

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Feb 21, 2024
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MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance

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Jan 17, 2024
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Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

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Dec 21, 2023
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Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study

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Nov 07, 2023
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LLMRec: Benchmarking Large Language Models on Recommendation Task

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Aug 23, 2023
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Attention Calibration for Transformer-based Sequential Recommendation

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Aug 18, 2023
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Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems

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Feb 28, 2023
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Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization

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Nov 20, 2022
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