A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

L Huang, W Yu, W Ma, W Zhong, Z Feng… - ACM Transactions on …, 2023 - dl.acm.org
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

Pythia: A suite for analyzing large language models across training and scaling

S Biderman, H Schoelkopf… - International …, 2023 - proceedings.mlr.press
How do large language models (LLMs) develop and evolve over the course of training?
How do these patterns change as models scale? To answer these questions, we introduce …

The flan collection: Designing data and methods for effective instruction tuning

S Longpre, L Hou, T Vu, A Webson… - International …, 2023 - proceedings.mlr.press
We study the design decision of publicly available instruction tuning methods, by
reproducing and breaking down the development of Flan 2022 (Chung et al., 2022) …

Language is not all you need: Aligning perception with language models

S Huang, L Dong, W Wang, Y Hao… - Advances in …, 2023 - proceedings.neurips.cc
A big convergence of language, multimodal perception, action, and world modeling is a key
step toward artificial general intelligence. In this work, we introduce KOSMOS-1, a …

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration

J Lin, J Tang, H Tang, S Yang… - Proceedings of …, 2024 - proceedings.mlsys.org
Large language models (LLMs) have shown excellent performance on various tasks, but the
astronomical model size raises the hardware barrier for serving (memory size) and slows …

NusaCrowd: Open source initiative for Indonesian NLP resources

S Cahyawijaya, H Lovenia, AF Aji… - Findings of the …, 2023 - aclanthology.org
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

Starcoder: may the source be with you!

R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov… - arXiv preprint arXiv …, 2023 - arxiv.org
The BigCode community, an open-scientific collaboration working on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …