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EMS: History-Driven Mutation for Coverage-based Fuzzing., , , , , , and . NDSS, The Internet Society, (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)V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs., , , , , , , and . IEEE Trans. Cybern., 52 (5): 3745-3756 (2022)Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration., , , , , , , and . CoRR, (2023)One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware., , , , , , , , , and 1 other author(s). CoRR, (2022)Improving Document-Level Sentiment Analysis with User and Product Context., , and . COLING, page 6724-6729. International Committee on Computational Linguistics, (2020)Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering., , , , and . ICANN (7), volume 14260 of Lecture Notes in Computer Science, page 427-438. Springer, (2023)Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future., , , , , , , , , and . EMNLP, page 4533-4559. Association for Computational Linguistics, (2023)A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models., , , , , , , , and . LREC/COLING, page 1339-1352. ELRA and ICCL, (2024)