A comprehensive overview of large language models
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 …
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
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
A survey of large language models
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 …
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
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …
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 …
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
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) …
reproducing and breaking down the development of Flan 2022 (Chung et al., 2022) …
Language is not all you need: Aligning perception with language models
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 …
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
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 …
astronomical model size raises the hardware barrier for serving (memory size) and slows …
NusaCrowd: Open source initiative for Indonesian NLP resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …
Indonesian languages, including opening access to previously non-public resources …
Starcoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …