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Notes on language model
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LaGO: Latent Action Guidance for Online Reinforcement Learning
The paper 'LaGO: Latent Action Guidance for Online Reinforcement Learning' proposes a new framework called LaGO. This framework uses a pre-trained language model (LLM) as a guide to help with online policy optimization…
Scaling Laws for Task-Specific LLM Distillation
This research provides empirical scaling laws for compressing Large Language Models (LLMs) specifically for certain domains, focusing on quantitative finance as the application domain. The study investigates the impact…
PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement
The paper introduces PAPERCLAW, a multi-agent system that automates the research process from start to finish. It uses a large language model as its core, which can drive the entire pipeline and also allows for human…
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