ML Papers

Table of contents

• ML Papers
  • Table of contents
  • Chain of thought
  • In context learning
  • Agent
  • PEFT
  • Architecture
  • LLM Explain
  • Multimodal
  • Prompt Engineering
  • RL

Chain of thought

1. 231105 Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

In context learning

1. 230314 A Theory of Emergent In-Context Learning as Implicit Structure Induction

Agent

1. 230820 ExpeL: LLM Agents Are Experiential Learners

2. 230610 Reflexion: Language Agents with Verbal Reinforcement Learning

3. 231006 Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

PEFT

1. 230318 Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

2. 230713 HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

3. 230610 FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Architecture

LLM Explain

1. 230318 Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Multimodal

1. 231220 Generative Multimodal Models are In-Context Learners

Prompt Engineering

1. 230820 ExpeL: LLM Agents Are Experiential Learners

2. 230610 Reflexion: Language Agents with Verbal Reinforcement Learning

3. 231006 Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

RL

1. 231006 Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

2. 240102 Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models