Orak is a foundational benchmark providing training data, interfaces, and evaluation tools for LLM agents across diverse video game genres.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A four-layer NFT architecture and four-phase methodology classify each feature as natively preserved, partially mismatched, or completely mismatched for cross-chain migration, illustrated by an Ethereum-to-Solana case study.
citing papers explorer
-
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Orak is a foundational benchmark providing training data, interfaces, and evaluation tools for LLM agents across diverse video game genres.
-
Feature-Centric Methodology for Analyzing Cross-Chain NFT Migration Compatibility
A four-layer NFT architecture and four-phase methodology classify each feature as natively preserved, partially mismatched, or completely mismatched for cross-chain migration, illustrated by an Ethereum-to-Solana case study.