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Found 6 papers, 0 papers with code
Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
The efficacy of large language models (LLMs) is heavily dependent on the quality of the underlying data, particularly within specialized domains.
A real-time rendering method for high albedo anisotropic materials with multiple scattering
The hierarchical transmittance fields are fed into a 3D-CNN network to compute more important transmittance features.
Exploration and Improvement of Nerf-based 3D Scene Editing Techniques
NeRF's high-quality scene synthesis capability was quickly accepted by scholars in the years after it was proposed, and significant progress has been made in 3D scene representation and synthesis.
Methods and strategies for improving the novel view synthesis quality of neural radiation field
Neural Radiation Field (NeRF) technology can learn a 3D implicit model of a scene from 2D images and synthesize realistic novel view images.
From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
This paper introduces RAISE (Reasoning and Acting through Scratchpad and Examples), an advanced architecture enhancing the integration of Large Language Models (LLMs) like GPT-4 into conversational agents.
DUMA: a Dual-Mind Conversational Agent with Fast and Slow Thinking
The fast thinking model serves as the primary interface for external interactions and initial response generation, evaluating the necessity for engaging the slow thinking model based on the complexity of the complete response.
