Verified claim · AI-ML · 92% confidence
Kahneman-Tversky Optimization (KTO) introduced in paper: KTO: Model Alignment as Prospect Theoretic Optimization (Ethayarajh et al., 2024).
Last verified 2026-05-31 · Methodology veritas-v0.1 · a4713632c335406b
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Structured fields
- Subject
- Kahneman-Tversky Optimization (KTO)
- Predicate
introduced_in_paper- Object
- KTO: Model Alignment as Prospect Theoretic Optimization (Ethayarajh et al., 2024)
- Confidence
- 92%
- Tags
- kto · kahneman-tversky-optimization · alignment · preference-optimization · rlhf · ethayarajh · 2024
Sources (3)
[1] preprint · arXiv (Ethayarajh, Xu, Muennighoff, Jurafsky, Kiela) · 2024-02-02
KTO: Model Alignment as Prospect Theoretic Optimization“Using a Kahneman-Tversky model of human utility, we propose a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, as current methods do.”
[2] github release · Contextual AI (ContextualAI) · 2024-02-02
HALOs library (DPO, KTO, PPO, ORPO reference implementations)[3] docs · Hugging Face
KTO (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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Evidence comes from 3 primary sources: arXiv (Ethayarajh, Xu, Muennighoff, Jurafsky, Kiela), Contextual AI (ContextualAI), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/a4713632c335406b.json includes an HMAC-SHA256 signature for audit verification.
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// "Kahneman-Tversky Optimization (KTO) introduced in paper: KTO: Model Alignment as Prospect Theoretic Optimization (Ethayarajh et al., 2024)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/a4713632c335406b.json")
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# "Kahneman-Tversky Optimization (KTO) introduced in paper: KTO: Model Alignment as Prospect Theoretic Optimization (Ethayarajh et al., 2024)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_kahneman_tversky_optimization_kto_fact() -> dict:
"""Fetch the verified SourceScore claim for Kahneman-Tversky Optimization (KTO)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/a4713632c335406b.json")
return r.json()