@inproceedings{gao2023enabling,title={Enabling Large Language Models to Generate Text with Citations},author={Gao, Tianyu and Yen, Howard and Yu, Jiatong and Chen, Danqi},year={2023},booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, }...
The Toolformer approach is informed by the use of in-context learning techniques (Brown et al., 2020) to generate datasets from scratch. Given a few human-written examples of how to use a particular API, the LLM annotates a large language modelling dataset with potential ...
GenSLMs(opens in new tab), a 2022ACM Gordon Bell award(opens in new tab)winning genome-scale language model from Argonne National Lab, can learn the evolutionary landscape of SARS-CoV-2 (COVID-19) genomes by adapting large language mode...
Large Language Models (LLMs) are a specific category of generative AI models specialized in handling language-related tasks. These models are trained on vast text datasets and can generate human-like text responses, perform language translation, answer questions, and more. They excel in understanding...
The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a wealth of knowledge and expertise, large language models (LLMs) are one of
Tokenising continuous speech into sequences of discrete tokens and modelling them with language models (LMs) has led to significant success in text-to-speech (TTS) synthesis. Although these models can generate speech with high quality and naturalness, their synthesised samples can still suffer from...
This paper introduces a novel approach, combining Large Language Models (LLMs) with Constraint Programming to facilitate interactive decision support. We study this hybrid framework through the lens of meeting scheduling, a time-consuming daily act...
A novel approach to improve the safety of large language models, enabling them to transition effectively from unsafe to safe state. - RobustNLP/DeRTa
Action-vision-language model Crossmodality Robot learning 1. Introduction Recently, large language models (LLMs) have gained popularity as versatile and powerful approaches to general purpose language processing. Being merely trained on large text corpora, they are capable of a wide range of tasks, ...
The official repo of the paper "Enabling Discriminative Reasoning in Large Language Models for Legal Judgment Prediction" - ChenlongDeng/ADAPT