Media
Learning Interpretable Low-dimensional Representation via Physical Symmetry
However, most methods rely heavily on music domain knowledge.
Evaluate Large Language Model as Critic
Critique ability, i.e., the capability of Large Language Models (LLMs) to identify
Just Add $ 100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
PGT -Aug involves three key steps: (i) volumetric 3D instance reconstruction using a 2D-to-3D view synthesis model, (ii) object-level domain alignment with LiDAR intensity simulation, and (iii) a hybrid context-aware placement method from ground and map information. We demonstrate the superiority and generality of our method through performance improvements in extensive experiments conducted on popular benchmarks, i.e., nuScenes, KITTI, and Lyft, especially for the datasets with large domain gaps
Simple and Controllable Music Generation Jade Copet Felix Kreuk
We tackle the task of conditional music generation.
Simple and Controllable Music Generation Jade Copet Felix Kreuk
We tackle the task of conditional music generation.
A Benchmark for Evaluating Language Model Fit
Implicitly or explicitly, this data is composed of domains--varying distributions of language.
7428e6db752171d6b832c53b2ed297ab-Paper-Conference.pdf
First, we formalize the problem definition.Weintroducetheconceptof"Idon'tknow (idk) responses" and in this context, honesty necessitates that an aligned LLM provides idk responses for unknown questions and correct responses for known questions.