2 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
COMMA: A Communicative Multimodal Multi-Agent Benchmark
Timothy Ossowski, Danyal Maqbool, Jixuan Chen +3
The rapid advances of multimodal agents built on large foundation models have largely overlooked their potential for language-based communication between agents in collaborative ta…
OLIVE: Object Level In-Context Visual Embeddings
Timothy Ossowski, Junjie Hu
Recent generalist vision-language models (VLMs) have demonstrated impressive reasoning capabilities across diverse multimodal tasks. However, these models still struggle with fine-…
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong +1
Large language models (LLM) have recently shown the extraordinary ability to perform unseen tasks based on few-shot examples provided as text, also known as in-context learning (IC…
Prompting Large Vision-Language Models for Compositional Reasoning
Timothy Ossowski, Ming Jiang, Junjie Hu
Vision-language models such as CLIP have shown impressive capabilities in encoding texts and images into aligned embeddings, enabling the retrieval of multimodal data in a shared e…