Results 301 to 310 of about 18,544,591 (363)

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills

Robotics
Humanoid robots hold the potential for unparalleled versatility in performing human-like, whole-body skills. However, achieving agile and coordinated whole-body motions remains a significant challenge due to the dynamics mismatch between simulation and ...
Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica Hodgins, “Jim” Fan, Yuke Zhu, Changliu Liu, Guanya Shi   +17 more
semanticscholar   +1 more source

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Conference on Empirical Methods in Natural Language Processing
Large Language Models (LLMs) equipped with web search capabilities have demonstrated impressive potential for deep research tasks. However, current approaches predominantly rely on either manually engineered prompts (prompt engineering-based) with ...
Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu   +6 more
semanticscholar   +1 more source

Conservation in the Real World

Science, 2000
R ecent correspondence in Science has centered on whether conservation of biodiversity should focus on protected areas, where humans are excluded, or on sustainable development in areas where people live, a strategy referred to as community-based conservation.[*][1] The debate raises some important issues. First, protected areas and community areas are
A R, Sinclair, D, Ludwig, C W, Clark
openaire   +2 more sources

DeepSeek-VL: Towards Real-World Vision-Language Understanding

arXiv.org
We present DeepSeek-VL, an open-source Vision-Language (VL) Model designed for real-world vision and language understanding applications. Our approach is structured around three key dimensions: We strive to ensure our data is diverse, scalable, and ...
Haoyu Lu, Wen Liu, Bo Zhang, Bing-Li Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, C. Deng, Hanwei Xu, Zhenda Xie, C. Ruan   +14 more
semanticscholar   +1 more source

τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

arXiv.org
Existing benchmarks do not test language agents on their interaction with human users or ability to follow domain-specific rules, both of which are vital for deploying them in real world applications.
Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan   +3 more
semanticscholar   +1 more source

Genomics in the Real World

Current Pharmaceutical Design, 1998
Abstract: The term genomics has evolved into a catch-all term for a variety of information intensive biological methodologies. While the promise of genomics in the bio/pharmaceutical industry is great, its impact on the drug discovery pipeline has not yet been realized, excluding a few notable exceptions.
openaire   +2 more sources

Evaluating Real-World Robot Manipulation Policies in Simulation

Conference on Robot Learning
The field of robotics has made significant advances towards generalist robot manipulation policies. However, real-world evaluation of such policies is not scalable and faces reproducibility challenges, which are likely to worsen as policies broaden the ...
Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, H. Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Q. Vuong, Ted Xiao   +15 more
semanticscholar   +1 more source

Evaluation for the Real World

2012
This valuable book examines the development of evaluation and its impact on public policy by analysing evaluation frameworks and criteria which are available when evaluating public policies and services.
Colin Palfrey, Paul Thomas, Ceri Phillips   +2 more
openaire   +1 more source

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

International Conference on Machine Learning
Planning has been part of the core pursuit for artificial intelligence since its conception, but earlier AI agents mostly focused on constrained settings because many of the cognitive substrates necessary for human-level planning have been lacking ...
Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su   +7 more
semanticscholar   +1 more source

One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Neural Information Processing Systems
The pre-trained text-to-image diffusion models have been increasingly employed to tackle the real-world image super-resolution (Real-ISR) problem due to their powerful generative image priors.
Rongyuan Wu, Lingchen Sun, Zhiyuan Ma, Lei Zhang   +3 more
semanticscholar   +1 more source