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WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding.

, , , and . NAACL-HLT, page 873-899. Association for Computational Linguistics, (2022)

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Deal or deceit: detecting cheating in distribution channels., , , , and . CIKM, page 1419-1428. ACM, (2014)Understanding Cyber Attack Behaviors with Sentiment Information on Social Media., , , and . SBP-BRiMS, volume 10899 of Lecture Notes in Computer Science, page 377-388. Springer, (2018)FakeNewsTracker: a tool for fake news collection, detection, and visualization., , and . Comput. Math. Organ. Theory, 25 (1): 60-71 (2019)Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation., , , and . IEEE BigData, page 4325-4330. IEEE, (2020)Learning with Weak Supervision for Email Intent Detection., , , , , and . SIGIR, page 1051-1060. ACM, (2020)On Fair Classification with Mostly Private Sensitive Attributes., , , , , and . CoRR, (2022)Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment., and . CoRR, (2023)Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors., , , , , , , and . CoRR, (2024)Fake News Research: Theories, Detection Strategies, and Open Problems., , , and . KDD, page 3207-3208. ACM, (2019)5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines., , , , , and . ASONAM, page 33-40. ACM, (2019)