Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations
The rapid development of Large Language Models (LLMs) has been pivotal in advancing AI,
with pre-trained LLMs being adaptable to diverse downstream tasks through fine-tuning …
with pre-trained LLMs being adaptable to diverse downstream tasks through fine-tuning …
Llm4ad: A platform for algorithm design with large language model
We introduce LLM4AD, a unified Python platform for algorithm design (AD) with large
language models (LLMs). LLM4AD is a generic framework with modularized blocks for …
language models (LLMs). LLM4AD is a generic framework with modularized blocks for …
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
Transformer-based large language models (LLMs) have displayed remarkable creative
prowess and emergence capabilities. Existing empirical studies have revealed a strong …
prowess and emergence capabilities. Existing empirical studies have revealed a strong …
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Handcrafting heuristics for solving complex planning tasks (eg, NP-hard combinatorial
optimization (CO) problems) is a common practice but requires extensive domain …
optimization (CO) problems) is a common practice but requires extensive domain …