4,873 results for generate

arxiv.org/abs/2301.09874v1

What Drives Virtual Influencer's Impact?

In the midst of the influencer marketing boom, more and more companies are shifting resources from real to virtual (or computer-generated) influencers. But while virtual influencers have the potential to engage consumers and drive action, some posts...

www.bing.com/ck/a?!&&p=65e474538f3497f9750f25609917d1d8aee5cbc1591ff768ef1ba38041b4577eJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1942edb1-e970-66cd-0f24-faa0e82e6744&u=a1aHR0cHM6Ly93d3cubWVycmlhbS13ZWJzdGVyLmNvbS9kaWN0aW9uYXJ5L2luZmx1ZW5jZXI&ntb=1

INFLUENCER Definition & Meaning - Merriam-Webster

The meaning of INFLUENCER is one who exerts influence : a person who inspires or guides the actions of others; often, specifically : a person who is able to generate interest in something (such as a …

github.com/MBRO95/PortableCellNetwork

MBRO95/PortableCellNetwork

Utilize a Raspberry Pi and a Nuand BladeRF to generate your own portable local cell network (⭐ 425)

arxiv.org/abs/2103.12407v4

Detecting Hate Speech with GPT-3

Sophisticated language models such as OpenAI's GPT-3 can generate hateful text that targets marginalized groups. Given this capacity, we are interested in whether large language models can be used to identify hate speech and classify text as sexist o...

github.com/Azzedde/brainstormers

Azzedde/brainstormers

This repository hosts a suite of specialized agents designed to power your brainstorming sessions. Each agent brings a unique perspective and tailored approach to generate creative, targeted solutions for diverse challenges. Choose the right agent for your spe…

arxiv.org/abs/2510.20350v2

What Do AI-Generated Images Want?

W.J.T. Mitchell's influential essay 'What do pictures want?' shifts the theoretical focus away from the interpretative act of understanding pictures and from the motivations of the humans who create them to the possibility that the picture itself is...

arxiv.org/abs/2511.14113v1

Coffee: Controllable Diffusion Fine-tuning

Text-to-image diffusion models can generate diverse content with flexible prompts, which makes them well-suited for customization through fine-tuning with a small amount of user-provided data. However, controllable fine-tuning that prevents models fr...

github.com/SystemRDL/PeakRDL-regblock

SystemRDL/PeakRDL-regblock

Generate SystemVerilog RTL that implements a register block from compiled SystemRDL input. (⭐ 75)

arxiv.org/abs/2205.00307v2

Learning to Get Up

Getting up from an arbitrary fallen state is a basic human skill. Existing methods for learning this skill often generate highly dynamic and erratic get-up motions, which do not resemble human get-up strategies, or are based on tracking recorded huma...

arxiv.org/abs/2006.11905v2

Feel The Music: Automatically Generating A Dance For An Input Song

We present a general computational approach that enables a machine to generate a dance for any input music. We encode intuitive, flexible heuristics for what a 'good' dance is: the structure of the dance should align with the structure of the music....

arxiv.org/abs/0710.5601v1

Proposal for optical parity state re-encoder

We propose a re-encoder to generate a refreshed parity encoded state from an existing parity encoded state. This is the simplest case of the scheme by Gilchrist et al. (Phys. Rev. A 75, 052328). We show that it is possible to demonstrate with exist...

github.com/intuit/auto

intuit/auto

Generate releases based on semantic version labels on pull requests. (⭐ 2391)

arxiv.org/abs/2205.13724v2

V-Doc : Visual questions answers with Documents

We propose V-Doc, a question-answering tool using document images and PDF, mainly for researchers and general non-deep learning experts looking to generate, process, and understand the document visual question answering tasks. The V-Doc supports gene...

arxiv.org/abs/2401.04259v1

MARG: Multi-Agent Review Generation for Scientific Papers

We study the ability of LLMs to generate feedback for scientific papers and develop MARG, a feedback generation approach using multiple LLM instances that engage in internal discussion. By distributing paper text across agents, MARG can consume the f...