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cs.LG2026
Predicting Performance of Symbolic and Prompt Programs with Examples
Chengqi Zheng, Keya Hu, Shuzhi Liu +3
LLM prompting is widely used for naturally stated tasks, yet it is unreliable it may succeed on a few test cases but fail at deployment time. We study performance prediction: given…
cs.CV2026
Bongards at the Boundary of Perception and Reasoning: Programs or Language?
Cassidy Langenfeld, Claas Beger, Gloria Geng +4
Vision-Language Models (VLMs) have made great strides in everyday visual tasks, such as captioning a natural image, or answering commonsense questions about such images. But humans…