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ORCID4th ICBINB 2023, New Orleans, LA, USA
- Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang:
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 239, PMLR 2023 - Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink:
How (not) to ensemble LVLMs for VQA. 1-20 - Joy Hsu, Gabriel Poesia, Jiajun Wu, Noah D. Goodman:
Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning? 21-28 - Tomo Lazovich:
Filter bubbles and affective polarization in user-personalized large language model outputs. 29-37 - Jay Mohta, Kenan E. Ak, Yan Xu, Mingwei Shen:
Are large language models good annotators? 38-48 - Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan:
Self-Evaluation Improves Selective Generation in Large Language Models. 49-64 - Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales:
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. 65-83 - Adhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar:
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models. 84-102 - Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel:
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. 103-117 - Chenwei Wu, Li Erran Li, Stefano Ermon, Patrick Haffner, Rong Ge, Zaiwei Zhang:
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models. 118-126 - Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev:
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. 127-133
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