1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
Victor Carbune, Hassan Mansoor, Fangyu Liu +4
Vision-language models (VLMs) are achieving increasingly strong performance on multimodal tasks. However, reasoning capabilities remain limited particularly for smaller VLMs, while…
cs.CL2023★ 1 cited
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
Ondrej Skopek, Rahul Aralikatte, Sian Gooding +1
Despite recent advances, evaluating how well large language models (LLMs) follow user instructions remains an open problem. While evaluation methods of language models have seen a…