| PMPA |
A Survey on Large Language Model based Autonomous Agents |
2023 |
arXiv |
PMPA, State of Art, Agent Architecture |
| Prompt Engineering |
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications |
2024 |
arXiv |
PromptEngineering, Comparative, Optimization |
| Voyager |
Voyager: An Open-Ended Embodied Agent with Large Language Models |
2023 |
arXiv |
AI Model, Minecraft, AutoGPT |
| Fine-Tuned Models vs GPT4 |
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks |
2023 |
arXiv |
Fine-Tuning, PromptEngineering, GPT-4 |
| EvalPlus (Code Evaluator) |
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation |
2023 |
NeurIPS |
evalution, test, leaderboards |
| Grammar Prompting |
Grammar Prompting for Domain-Specific Language Generation with Large Language Models |
2023 |
NeurIPS |
Formatting, Translation, Specialization |
| LLM Repurposing |
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains |
2024 |
arXiv |
Specialization, Optimization, DSL |
| LLM Planners |
Understanding the planning of LLM agents: A survey |
2024 |
arXiv |
Planning, Agents, Autonomous |
| ReAct |
ReAct: Synergizing Reasoning and Acting in Language Models |
2022 |
arXiv |
Agent, Planner, Solver |
| Weak/Strong AI |
Minds, brains, and programs. Behavioral and Brain Sciences 3 (3): 417-45 |
1980 |
Web-Archive |
AI Strong AI Weak AI |
| The Cognition Problem |
The naturalistic imperative in cognitive science |
04/97 |
BNC |
Cognition GPS Problem Solving |
| Classical AI |
Artificial intelligence: a modern approach |
2016 |
Hoasen |
Classic AI Searching |
| STRIPS |
STRIPS: A new approach to the application of theorem proving to problem solving |
1971 |
ScienceDirect |
STRIPS Classic AI |
| PDDL |
Pddl | the planning domain definition language |
1998 |
ResearchGate |
PDDL Planning |
| GPT-4 |
Gpt-4 technical report |
2023 |
ArXiv |
LLM GPT-4 OpenAI |
| Gemini |
Welcome to the Gemini era: Google DeepMind and the information industry |
2023 |
Emerald |
Gemini Google LLM |
| Llama2 |
Llama 2: Open foundation and fine-tuned chat models |
2023 |
ArXiv |
Llama-2 LLM Meta |
| GPS |
Report on a general problem-solving program. |
1959 |
bitSavers |
GPS Problem Solver Cognition Classical AI |
| AGI |
Position: Levels of AGI for Operationalizing Progress on the Path to AGI |
2023 |
ArXiv |
AGI Modern AI Strong AI |
| AutoGPT |
From GPT to AutoGPT: a Brief Attention in NLP Processing using DL |
2023 |
ResearchGate |
AGI Agents Deployment GPT |
| SOAR |
The Soar Cognitive Architecture |
2019 |
GoogleBooks |
SOAR Cognition Architecture |
| Explore/Exploit |
Exploration and exploitation in evolutionary algorithms: A survey |
2013 |
ArXiv |
Exploration Explotation Search Tree-Of-Thoughts |
| Q* and State-Of-Art |
From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape |
2023 |
ArXiV |
Q* State-Of-Art Mixture-Of-Experts (MOE) AGI |