ChatT2: An Adaptive Framework for Developing a Large Language Model-Based Agent for Natural Product Domain Research

arXiv:2609.25620 · cs.AI · Submitted 2026-09-22 · Read on arXiv

cs.AI

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/Qinlab502/chatT2

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 11× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Semantic Similarity — 6× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• RAG — 2× in this paper · explained in 3 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Agent Interactions — 1× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Positional Bias — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis
• The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
• Emergent autonomous scientific research capabilities of large language models
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
• The Rise and Potential of Large Language Model Based Agents: A Survey
• Retrieval-Augmented Generation for Large Language Models: A Survey
• Can AI Assistants Know What They Don't Know?
• MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
• Measuring Massive Multitask Language Understanding

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