ICBINB

Publications

2023

Tomo Lazovich
Filter bubbles and affective polarization in user-personalized large language model outputs. ICBINB (2023)
Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan
Self-Evaluation Improves Selective Generation in Large Language Models. ICBINB (2023)
Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB (2023)
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. ICBINB (2023)
Adhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models. ICBINB (2023)
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. ICBINB (2023)
Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. ICBINB (2023)
Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink
How (not) to ensemble LVLMs for VQA. ICBINB (2023)
Joy Hsu, Gabriel Poesia, Jiajun Wu, Noah D. Goodman
Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning? ICBINB (2023)
Jay Mohta, Kenan E. Ak, Yan Xu, Mingwei Shen
Are large language models good annotators? ICBINB (2023)

volume 239, 2023

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. ICBINB 239 (2023)

2022

volume 187, 2022

Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA ICBINB 187 (2022)