3 papers
cs.CV2025
4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation Models
Yiting Lu, Wei Luo, Peiyan Tu +8
World Generation Models are emerging as a cornerstone of next-generation multimodal intelligence systems. Unlike traditional 2D visual generation, World Models aim to construct rea…
cs.SD2025
PodEval: A Multimodal Evaluation Framework for Podcast Audio Generation
Yujia Xiao, Liumeng Xue, Lei He +8
Recently, an increasing number of multimodal (text and audio) benchmarks have emerged, primarily focusing on evaluating models' understanding capability. However, exploration into…
cs.LG2025
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, András György +1
It has recently been demonstrated empirically that in-context learning emerges in transformers when certain distributional properties are present in the training data, but this abi…