3 papers
cs.CL2026
On the Persistent Effects of Lexicality in Large Language Models
Hammad Rizwan, Muhammad Umair Haider, Nishant Subramani +3
Representations extracted from large language models (LLMs) play an important role in many downstream applications. However, the structure of these representations is often influen…
cs.CV2024
Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models
Sri Harsha Dumpala, David Arps, Sageev Oore +2
Vision-language models (VLMs), serve as foundation models for multi-modal applications such as image captioning and text-to-image generation. Recent studies have highlighted limita…
cs.CV2024
Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts
Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Sastry +3
Despite the significant influx of prompt-tuning techniques for generative vision-language models (VLMs), it remains unclear how sensitive these models are to lexical and semantic a…