Verified claim · AI-ML · 100% confidence
Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 9d7676f71d1ee4f3
Structured fields
- Subject
- Tree of Thoughts
- Predicate
introduced_in- Object
- Yao et al. 2023 — deliberate problem solving with LLMs
- Confidence
- 100%
- Tags
- tree-of-thoughts · tot · princeton · deepmind · reasoning · prompting · 2023 · introduced_in
Sources (2)
[1] preprint · arXiv (Yao, Yu, Zhao, Shafran, Griffiths, Cao, Narasimhan / Princeton + Google DeepMind) · 2023-05-17
Tree of Thoughts: Deliberate Problem Solving with Large Language Models“We introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thought approach to prompting language models, and enables exploration over coherent units of text (thoughts) that serve as intermediate steps toward problem solving.”
[2] github release · Princeton NLP · 2023-05-17
Tree of Thoughts — official Princeton NLP repository
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curl https://sourcescore.org/api/v1/claims/9d7676f71d1ee4f3.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/9d7676f71d1ee4f3.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/9d7676f71d1ee4f3.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_tree_of_thoughts_fact() -> dict:
"""Fetch the verified SourceScore claim for Tree of Thoughts."""
r = httpx.get("https://sourcescore.org/api/v1/claims/9d7676f71d1ee4f3.json")
return r.json()