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cs.LG2024★ 1 cited
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim +1
Large language models (LLMs) have demonstrated strong capabilities across various language tasks, notably through instruction-tuning methods. However, LLMs face challenges in visua…
cs.CL2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
Jaewoo Ahn, Taehyun Lee, Junyoung Lim +4
While Large Language Models (LLMs) can serve as agents to simulate human behaviors (i.e., role-playing agents), we emphasize the importance of point-in-time role-playing. This situ…