Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Haber, Nick"'
Autor:
Niknazar, Mohammad, Haley, Paul V, Ramanan, Latha, Truong, Sang T., Shrinivasan, Yedendra, Bhowmick, Ayan Kumar, Dey, Prasenjit, Jagmohan, Ashish, Maheshwari, Hema, Ponoth, Shom, Smith, Robert, Vempaty, Aditya, Haber, Nick, Koyejo, Sanmi, Sundararajan, Sharad
Generative AI holds the promise of enabling a range of sought-after capabilities and revolutionizing workflows in various consumer and enterprise verticals. However, putting a model in production involves much more than just generating an output. It
Externí odkaz:
http://arxiv.org/abs/2408.01452
Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents. Here, we leverage large language models (LLMs) to create an autonomous agen
Externí odkaz:
http://arxiv.org/abs/2407.07086
How did humanity coax mathematics from the aether? We explore the Platonic view that mathematics can be discovered from its axioms - a game of conjecture and proof. We describe Minimo (Mathematics from Intrinsic Motivation): an agent that jointly lea
Externí odkaz:
http://arxiv.org/abs/2407.00695
Online programming videos, including tutorials and streamcasts, are widely popular and contain a wealth of expert knowledge. However, effectively utilizing these resources to achieve targeted learning goals can be challenging. Unlike direct tutoring,
Externí odkaz:
http://arxiv.org/abs/2405.12946
When writing and talking, people sometimes pause to think. Although reasoning-focused works have often framed reasoning as a method of answering questions or completing agentic tasks, reasoning is implicit in almost all written text. For example, thi
Externí odkaz:
http://arxiv.org/abs/2403.09629
In real-world environments, autonomous agents rely on their egocentric observations. They must learn adaptive strategies to interact with others who possess mixed motivations, discernible only through visible cues. Several Multi-Agent Reinforcement L
Externí odkaz:
http://arxiv.org/abs/2312.08662
Autor:
Yang, Yue, Sun, Fan-Yun, Weihs, Luca, VanderBilt, Eli, Herrasti, Alvaro, Han, Winson, Wu, Jiajun, Haber, Nick, Krishna, Ranjay, Liu, Lingjie, Callison-Burch, Chris, Yatskar, Mark, Kembhavi, Aniruddha, Clark, Christopher
3D simulated environments play a critical role in Embodied AI, but their creation requires expertise and extensive manual effort, restricting their diversity and scope. To mitigate this limitation, we present Holodeck, a system that generates 3D envi
Externí odkaz:
http://arxiv.org/abs/2312.09067
The study explores the capabilities of OpenAI's ChatGPT in solving different types of physics problems. ChatGPT (with GPT-4) was queried to solve a total of 40 problems from a college-level engineering physics course. These problems ranged from well-
Externí odkaz:
http://arxiv.org/abs/2310.08773
Autor:
Zelikman, Eric, Ma, Wanjing Anya, Tran, Jasmine E., Yang, Diyi, Yeatman, Jason D., Haber, Nick
Developing an educational test can be expensive and time-consuming, as each item must be written by experts and then evaluated by collecting hundreds of student responses. Moreover, many tests require multiple distinct sets of questions administered
Externí odkaz:
http://arxiv.org/abs/2310.06837
Referenceless metrics (e.g., CLIPScore) use pretrained vision--language models to assess image descriptions directly without costly ground-truth reference texts. Such methods can facilitate rapid progress, but only if they truly align with human pref
Externí odkaz:
http://arxiv.org/abs/2309.11710