Summary of Mixeval-x: Any-to-any Evaluations From Real-world Data Mixtures, by Jinjie Ni et al.
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixturesby Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li,…
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixturesby Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li,…
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofsby Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf,…
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworksby Benjamin Leblanc, Mathieu Bazinet,…
Towards Better Performance in Incomplete LDL: Addressing Data Imbalanceby Zhiqiang Kou, Haoyuan Xuan, Jing Wang,…
Learning Counterfactual Distributions via Kernel Nearest Neighborsby Kyuseong Choi, Jacob Feitelberg, Caleb Chin, Anish Agarwal,…
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratchby Caigao Jiang, Xiang Shu,…
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representationsby Kexuan Shi, Hai Chen, Leheng…
Learning Representations for Reasoning: Generalizing Across Diverse Structuresby Zhaocheng ZhuFirst submitted to arxiv on: 16…
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generationby Jaehong Yoon, Shoubin Yu,…
Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoningby Ruimeng Ye,…