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GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation., , , , , , , , , and . CoRR, (2023)On the Cultural Gap in Text-to-Image Generation., , , , , , and . CoRR, (2023)Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis., , , , and . CoRR, (2022)A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware., , , , , , , , , and 1 other author(s). ISSTA, page 442-454. ACM, (2022)Semantic-Aware Dynamic Retrospective-Prospective Reasoning for Event-Level Video Question Answering., , , and . ACL (student), page 50-56. Association for Computational Linguistics, (2023)Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment., , , , , , , , , and . ACM Multimedia, page 3975-3984. ACM, (2023)Document-Level Machine Translation with Large Language Models., , , , , , and . EMNLP, page 16646-16661. Association for Computational Linguistics, (2023)V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs., , , , , , , and . IEEE Trans. Cybern., 52 (5): 3745-3756 (2022)MOPT: Optimized Mutation Scheduling for Fuzzers., , , , , , and . USENIX Security Symposium, page 1949-1966. USENIX Association, (2019)UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers., , , , , , , , , and 2 other author(s). USENIX Security Symposium, page 2777-2794. USENIX Association, (2021)