LiveCodeBench-v-6

The 'LiveCodeBench-v-6' dataset/benchmark is used to evaluate the performance and quality of language models, particularly in the context of introspective consistency and generation capabilities.

Papers using LiveCodeBench-v-6 (5)

Introspective Diffusion Language Models2026VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models2026X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests2026Rethinking Verification for LLM Code Generation: From Generation to Testing2025PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning2025