A Survey on Red Teaming for Generative Models
[Submitted on 31 Mar 2024 (v1), last revised 26 Nov 2024 (this version, v2)] Authors:Lizhi Lin, Honglin Mu, Zenan Zhai, ...
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A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
[Submitted on 14 Jun 2024 (v1), last revised 25 Nov 2024 (this version, v3)] View a PDF of the paper ...
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Color-driven Generation of Synthetic Data for Referring Expression Comprehension
arXivLabs is a framework that permits collaborators to develop and share new arXiv options immediately on our web site. Each ...
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Evaluating and Advancing Multimodal Large Language Models in Ability Lens
arXiv:2411.14725v1 Announce Sort: cross Summary: As multimodal giant language fashions (MLLMs) advance quickly, rigorous analysis has change into important, offering ...
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[2406.04289] What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
[Submitted on 6 Jun 2024 (v1), last revised 21 Nov 2024 (this version, v4)] View a PDF of the paper ...
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[2402.17304] Probing Multimodal Large Language Models for Global and Local Semantic Representations
[Submitted on 27 Feb 2024 (v1), last revised 21 Nov 2024 (this version, v3)] View a PDF of the paper ...
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[2411.12103] Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
[Submitted on 18 Nov 2024 (v1), last revised 20 Nov 2024 (this version, v2)] View a PDF of the paper ...
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Principles, Taxonomy, Challenges, and Open Questions
[Submitted on 9 Nov 2023 (v1), last revised 19 Nov 2024 (this version, v2)] Authors:Lei Huang, Weijiang Yu, Weitao Ma, ...
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[2406.04625] Key-Element-Informed sLLM Tuning for Document Summarization
[Submitted on 7 Jun 2024 (v1), last revised 19 Nov 2024 (this version, v3)] View a PDF of the paper ...
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Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
[Submitted on 29 Jun 2024 (v1), last revised 18 Nov 2024 (this version, v3)] View a PDF of the paper ...
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