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cs.AI2024★ 1 cited
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Xinyan Guan, Yanjiang Liu, Xinyu Lu +8
The evolution of machine learning has increasingly prioritized the development of powerful models and more scalable supervision signals. However, the emergence of foundation models…
cs.AI2024
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
Ruiyang Xu, Jialun Cao, Yaojie Lu +6
Code benchmarks such as HumanEval are widely adopted to evaluate Large Language Models' (LLMs) coding capabilities. However, there is an unignorable programming language bias in ex…