Zobrazeno 1 - 10
of 9 729
pro vyhledávání: '"Lezama, AT"'
Autor:
Lin, Xiaohanwen, WU, Fan, Ubrig, Nicolas, Liao, Menghan, Yao, Fengrui, Gutiérrez-Lezama, Ignacio, Morpurgo, Alberto F.
In all van der Waals layered antiferromagnetic semiconductors investigated so far a negative magnetoresistance has been observed in vertical transport measurements, with characteristic trends that do not depend on applied bias. Here we report vertica
Externí odkaz:
http://arxiv.org/abs/2410.17930
We present MathDSL, a Domain-Specific Language (DSL) for mathematical equation solving, which, when deployed in program synthesis models, outperforms state-of-the-art reinforcement-learning-based methods. We also introduce a quantitative metric for m
Externí odkaz:
http://arxiv.org/abs/2409.17490
Skills are temporal abstractions that are intended to improve reinforcement learning (RL) performance through hierarchical RL. Despite our intuition about the properties of an environment that make skills useful, a precise characterization has been a
Externí odkaz:
http://arxiv.org/abs/2406.07897
Robots are often built from standardized assemblies, (e.g. arms, legs, or fingers), but each robot must be trained from scratch to control all the actuators of all the parts together. In this paper we demonstrate a new approach that takes a single ro
Externí odkaz:
http://arxiv.org/abs/2407.01567
Autor:
Kim, Gwanghyun, Martinez, Alonso, Su, Yu-Chuan, Jou, Brendan, Lezama, José, Gupta, Agrim, Yu, Lijun, Jiang, Lu, Jansen, Aren, Walker, Jacob, Somandepalli, Krishna
Training diffusion models for audiovisual sequences allows for a range of generation tasks by learning conditional distributions of various input-output combinations of the two modalities. Nevertheless, this strategy often requires training a separat
Externí odkaz:
http://arxiv.org/abs/2405.13762
We extend multimodal transformers to include 3D camera motion as a conditioning signal for the task of video generation. Generative video models are becoming increasingly powerful, thus focusing research efforts on methods of controlling the output o
Externí odkaz:
http://arxiv.org/abs/2405.13195
Autor:
Jain, Naman, Han, King, Gu, Alex, Li, Wen-Ding, Yan, Fanjia, Zhang, Tianjun, Wang, Sida, Solar-Lezama, Armando, Sen, Koushik, Stoica, Ion
Large Language Models (LLMs) applied to code-related applications have emerged as a prominent field, attracting significant interest from both academia and industry. However, as new and improved LLMs are developed, existing evaluation benchmarks (e.g
Externí odkaz:
http://arxiv.org/abs/2403.07974
Autor:
Gu, Alex, Li, Wen-Ding, Jain, Naman, Olausson, Theo X., Lee, Celine, Sen, Koushik, Solar-Lezama, Armando
While language models are increasingly more proficient at code generation, they still frequently generate incorrect programs. Many of these programs are obviously wrong, but others are more subtle and pass weaker correctness checks such as being able
Externí odkaz:
http://arxiv.org/abs/2402.19475
Autor:
Lin, Xiaohanwen, Wu, Fan, Lopéz-Paz, Sara A., von Rohr, Fabian O., Gibertini, Marco, Gutiérrez-Lezama, Ignacio, Morpurgo, Alberto F.
We investigate the c-direction conduction in CrSBr in the linear regime, not accessible in other van der Waals (vdW) magnetic semiconductors, because of the unmeasurably low current. The resistivity -- $10^8$ to $10^{11}$ times larger than in the a-
Externí odkaz:
http://arxiv.org/abs/2401.16931
Autor:
Gu, Alex, Rozière, Baptiste, Leather, Hugh, Solar-Lezama, Armando, Synnaeve, Gabriel, Wang, Sida I.
We present CRUXEval (Code Reasoning, Understanding, and eXecution Evaluation), a benchmark consisting of 800 Python functions (3-13 lines). Each function comes with an input-output pair, leading to two natural tasks: input prediction and output predi
Externí odkaz:
http://arxiv.org/abs/2401.03065