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Segment Anything Model (SAM) Enhances Pseudo-Labels for Weakly Supervised Semantic Segmentation
Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Can Segment Anything Model Improve Semantic Segmentation?
Maryam Qamar, Donghoon Kim, Muhammad Salman Ali, Chaoning Zhang, Sung-Ho Bae
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Exploring and Improving the Spatial Reasoning Abilities of Large Language Models
Manasi Sharma
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Are large language models good annotators?
Jay Mohta, Kenan Ak, Yan Xu, Mingwei Shen
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Surprising Deviations from Bayesian View in In-Context Learning
Madhur Panwar, Kabir Ahuja, Navin Goyal
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models
Chenwei Wu, Patrick haffner, Li Erran Li, Stefano Ermon, Rong Ge
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models
Adhithya Prakash Saravanan, Rafal Kocielnik, Roy Jiang, Pengrui Han, Anima Anandkumar
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Do Language Models Know When They're Hallucinating References?
Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Kalai
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Zero-shot capabilities of visual language models with prompt engineering for images of animals
Andrea Tejeda Ocampo, Eric Orenstein, Kakani Young
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
A Study on Improving Reasoning in Language Models
Yuqing Du, Alexander Havrilla, Sainbayar Sukhbaatar, Pieter Abbeel, Roberta Raileanu
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Self-Evaluation Improves Selective Generation in Large Language Models
Jie Ren, Yao Zhao, Tu Vu, Peter J Liu, Balaji Lakshminarayanan
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
SentimentPulse: Temporal-Aware Custom Language Models vs. GPT-3.5 for Consumer Sentiment
Lixiang Li, Nagender Aneja, Alina Nesen, Bharat Bhargava
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Interactive Model Correction with Natural Language
Yoonho Lee, Michelle Lam, Helena Vasconcelos, Michael Bernstein, Chelsea Finn
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Filter bubbles and affective polarization in user-personalized large language model outputs
Tomo Lazovich
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery
Joseph Alejandro Gallego Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Francisco Dorr, Matthew Allen, Freddie Kalaitzis, Raúl Ramos-Pollán
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
Aleksandar Petrov, Philip Torr, Adel Bibi
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Towards Better Understanding of Domain Shift on Linear-Probed Visual Foundation Models
Eric Heim
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy Hospedales
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
A Negative Result on Gradient Matching for Selective Backprop
Lukas Balles, Cedric Archambeau, Giovanni Zappella
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
Haoqiang Kang, Xiao-Yang Liu
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
A Natural Experiment on LLM Data Contamination in Code Generation
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
How (not) to ensemble LVLMs for VQA
Lisa Alazraki, Lluis Castrejon, Mostafa Dehghani, Fantine Huot, Jasper Uijlings, Thomas Mensink
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
Transformer-Based Large Language Models Are Not General Learners: A Universal Circuit Perspective
Yang Chen, Yitao Liang, Zhouchen Lin
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone
On the performance of Multimodal Language Models
Utsav Garg, Erhan Bas
- Published: 27 Oct 2023, Last Modified: 24 Apr 2024
- ICBINB 2023
- Readers: Everyone

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