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

International 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

Scaling Instruction-Finetuned Language Models [PDF]

Journal of machine learning research, 2022
Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks.
Hyung Won Chung +31 more
semanticscholar +1 more source

Evaluating Object Hallucination in Large Vision-Language Models [PDF]

Conference on Empirical Methods in Natural Language Processing, 2023
Inspired by the superior language abilities of large language models (LLM), large vision-language models (LVLM) have been recently explored by integrating powerful LLMs for improving the performance on complex multimodal tasks.
Yifan Li +5 more
semanticscholar +1 more source

Whole issue 14

Language 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

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

Conference 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

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

Annual 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

Whole issue 15.1

Language Value, 2022
Whole ...
Language Value
doaj +1 more source

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

arXiv.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

Large language models encode clinical knowledge [PDF]

Nature, 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

Survey of Hallucination in Natural Language Generation [PDF]

ACM Computing Surveys, 2022
Natural Language Generation (NLG) has improved exponentially in recent years thanks to the development of sequence-to-sequence deep learning technologies such as Transformer-based language models. This advancement has led to more fluent and coherent NLG,
Ziwei Ji +11 more
semanticscholar +1 more source

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