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wawasan - LLM Evaluation Benchmark
ERBench: An Entity-Relationship Based Automatically Verifiable Hallucination Benchmark for Large Language Models
Utilizing relational databases and the ER model, ERBench provides a comprehensive evaluation of LLMs by generating complex and automatically verifiable questions.
MINT: Evaluating LLMs in Multi-Turn Interaction with Tools and Language Feedback at ICLR 2024
Large language models benefit from multi-turn interactions with tools and natural language feedback, as shown by the MINT evaluation benchmark.
MRKE: Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition
Large Language Models (LLMs) performance in Multi-hop Question Answering tasks is evaluated through a new benchmark, MRKE, highlighting the need for trustworthy evaluation of reasoning abilities.
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