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The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.

, , , , , , and . CoRR, (2024)

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Closing the loop in webpage understanding., , , , and . CIKM, page 1397-1398. ACM, (2008)Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning., , and . Mach. Intell. Res., 20 (2): 145-146 (April 2023)StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses., , , , , and . CoRR, (2024)Evaluating the Effectiveness of Personalized Web Search., , , and . IEEE Trans. Knowl. Data Eng., 21 (8): 1178-1190 (2009)Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites., , , , and . IEEE Trans. Knowl. Data Eng., 30 (12): 2271-2284 (2018)Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment., , , , and . CoRR, (2023)Pretrained Language Models for Text Generation: A Survey., , , and . CoRR, (2021)Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models., , , , and . CoRR, (2024)Leveraging Multi-Token Entities in Document-Level Named Entity Recognition., , , and . AAAI, page 7961-7968. AAAI Press, (2020)Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation., , , and . EACL (1), page 1438-1451. Association for Computational Linguistics, (2024)