How (not) to ensemble LVLMs for VQA

Lisa Alazraki, Lluis Castrejon, Mostafa Dehghani, Fantine Huot, Jasper Uijlings, Thomas Mensink; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:1-20

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Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning?

Joy Hsu, Gabriel Poesia, Jiajun Wu, Noah Goodman; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:21-28

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Filter bubbles and affective polarization in user-personalized large language model outputs

Tomo Lazovich; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:29-37

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Are large language models good annotators?

Jay Mohta, Kenan Ak, Yan Xu, Mingwei Shen; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:38-48

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Self-Evaluation Improves Selective Generation in Large Language Models

Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:49-64

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Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO’s 4000 TPU Months

Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy Hospedales; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:65-83

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Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models

Adhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:84-102

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Adversarial Attacks and Defenses in Large Language Models: Old and New Threats

Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:103-117

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The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models

Chenwei Wu, Li Erran Li, Stefano Ermon, Patrick Haffner, Rong Ge, Zaiwei Zhang; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:118-126

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Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev; Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, PMLR 239:127-133

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