Reinforcement learning for generative ai: State of the art, opportunities and open research challenges

G Franceschelli, M Musolesi - Journal of Artificial Intelligence Research, 2024 - jair.org
Abstract Generative Artificial Intelligence (AI) is one of the most exciting developments in
Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has …

Generative artificial intelligence: fundamentals

JM Corchado, S López, R Garcia… - ADCAIJ: advances in …, 2023 - revistas.usal.es
Generative language models have witnessed substantial traction, notably with the
introduction of refined models aimed at more coherent user-AI interactions—principally …

The evolution of large language model: Models, applications and challenges

B Sindhu, RP Prathamesh, MB Sameera… - … on Current Trends in …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have attracted a lot of attention due to their success in
natural language processing tasks. This paper provides a thorough overview by examining …

Epic: Cost-effective search-based prompt engineering of llms for code generation

H Taherkhani, M Sepindband, HV Pham… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have seen increasing use in various software development
tasks, especially in code generation. The most advanced recent methods attempt to …

FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text

Z Xu, K Zhang, VS Sheng - arxiv preprint arxiv:2410.10876, 2024 - arxiv.org
The increasing use of Large Language Models (LLMs) for generating highly coherent and
contextually relevant text introduces new risks, including misuse for unethical purposes such …

The Impact of Prompts on Zero-Shot Detection of AI-Generated Text

K Taguchi, Y Gu, K Sakurai - arxiv preprint arxiv:2403.20127, 2024 - arxiv.org
In recent years, there have been significant advancements in the development of Large
Language Models (LLMs). While their practical applications are now widespread, their …

Susceptibility of Communities against Low-Credibility Content in Social News Websites

YE Bayiz, A Amini, R Marculescu, U Topcu - arxiv preprint arxiv …, 2024 - arxiv.org
Social news websites, such as Reddit, have evolved into prominent platforms for sharing
and discussing news. A key issue on social news websites sites is the formation of echo …

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation

H Wang, RKW Lee - Proceedings of the ACM on Web Conference 2024, 2024 - dl.acm.org
Online memes have emerged as powerful digital cultural artifacts in the age of social media,
offering not only humor but also platforms for political discourse, social critique, and …

Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines

E Trofimova, E Sataev, A Ustyuzhanin - PeerJ Computer Science, 2024 - peerj.com
In the ever-evolving landscape of machine learning, seamless translation of natural
language descriptions into executable code remains a formidable challenge. This article …

From a Lossless (~ 1.5: 1) Compression Algorithm for Llama2 7B Weights to Variable Precision, Variable Range, Compressed Numeric Data Types for CNNs and …

V Liguori - arxiv preprint arxiv:2404.10896, 2024 - arxiv.org
This paper starts with a simple lossless~ 1.5: 1 compression algorithm for the weights of the
Large Language Model (LLM) Llama2 7B [1] that can be implemented in~ 200 LUTs in AMD …