Results 11 to 20 of about 12,574,087 (368)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control [PDF]

open access: yesConference on Robot Learning, 2023
We study how vision-language models trained on Internet-scale data can be incorporated directly into end-to-end robotic control to boost generalization and enable emergent semantic reasoning.
Anthony Brohan   +45 more
semanticscholar   +1 more source

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
We present Video-LLaMA a multi-modal framework that empowers Large Language Models (LLMs) with the capability of understanding both visual and auditory content in the video.
Hang Zhang, Xin Li, Lidong Bing
semanticscholar   +1 more source

PaLM-E: An Embodied Multimodal Language Model [PDF]

open access: yesInternational Conference on Machine Learning, 2023
Large language models excel at a wide range of complex tasks. However, enabling general inference in the real world, e.g., for robotics problems, raises the challenge of grounding.
Danny Driess   +21 more
semanticscholar   +1 more source

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model [PDF]

open access: yesarXiv.org, 2022
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations ...
Teven Le Scao   +390 more
semanticscholar   +1 more source

Whole issue 14

open access: yesLanguage Value, 2021
This is the fourteenth issue of Language Value, the journal created by the Department of English Studies at Universitat Jaume I (UJI) over 12 years ago.
Language Value
doaj   +1 more source

Self-Instruct: Aligning Language Models with Self-Generated Instructions [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2022
Large “instruction-tuned” language models (i.e., finetuned to respond to instructions) have demonstrated a remarkable ability to generalize zero-shot to new tasks.
Yizhong Wang   +6 more
semanticscholar   +1 more source

Large language models encode clinical knowledge [PDF]

open access: yesNature, 2022
Med-PaLM, a state-of-the-art large language model for medicine, is introduced and evaluated across several medical question answering tasks, demonstrating the promise of these models in this domain.
K. Singhal   +29 more
semanticscholar   +1 more source

Whole issue 15.1

open access: yesLanguage Value, 2022
Whole ...
Language Value
doaj   +1 more source

Emergent Abilities of Large Language Models [PDF]

open access: yesTrans. Mach. Learn. Res., 2022
Scaling up language models has been shown to predictably improve performance and sample efficiency on a wide range of downstream tasks. This paper instead discusses an unpredictable phenomenon that we refer to as emergent abilities of large language ...
Jason Wei   +15 more
semanticscholar   +1 more source

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding [PDF]

open access: yesBlackboxNLP@EMNLP, 2018
Human ability to understand language is general, flexible, and robust. In contrast, most NLU models above the word level are designed for a specific task and struggle with out-of-domain data.
Alex Wang   +5 more
semanticscholar   +1 more source

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