← Back to Research Radar
Academic Publication Academic Publication

LISA: Reasoning Segmentation via Large Language Model

336
Citations
June 16, 2024
Published Date

Research Abstract & Technology Focus

No abstract provided for this literature.
Read Full Literature

AI Semantic Synergy Context

Connecting this academic literature to real-world market discussions and products.

crossref.org › academic paper
0%

A survey on multimodal large language models

ABSTRACT Recently, the multimodal large language model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful large language models (LLMs) as a brai...

crossref.org › academic paper
0%

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Abstract General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs)1,2 and ch...

crossref.org › academic paper
0%

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 influx of research contribut...

crossref.org › academic paper
0%

Large Language Model Influence on Diagnostic Reasoning

ImportanceLarge language models (LLMs) have shown promise in their performance on both multiple-choice and open-ended medical reasoning examinations, but it remains unknown whether the use of such ...

crossref.org › academic paper
0%

When large language models meet personalization: perspectives of challenges and opportunities

AbstractThe advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large lan...

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'LISA: Reasoning Segmentation via Large Language Model'?

This literature focuses on:

Are there open-source GitHub repositories related to LISA: Reasoning Segmentation via Large Language Model?

Yes, open-source projects like FreedomIntelligence/OpenClaw-Medical-Skills (The largest open-source medical AI skills library for OpenClaw🦞.) are actively building upon these concepts.

Which startups are commercializing the technology behind LISA: Reasoning Segmentation via Large Language Model?

Products like Gemini Robotics ER 1.6 are bringing this to market. Their focus is: Google's SOTA robotics model for visual & spatial reasoning!.

What other academic literature is closely related to 'LISA: Reasoning Segmentation via Large Language Model'?

Yes, highly correlated activity was mapped. An entry titled 'A survey on multimodal large language models' discusses this: ABSTRACT Recently, the multimodal large language model (MLLM) represented by GPT-4V has been a new rising research hotspot, which us...

Cite this Market Intelligence Report

Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.

Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

Associated Media Narrative