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Found 2 papers, 1 papers with code
LLM Evaluators Recognize and Favor Their Own Generations
Self-evaluation using large language models (LLMs) has proven valuable not only in benchmarking but also methods like reward modeling, constitutional AI, and self-refinement.
REBUS: A Robust Evaluation Benchmark of Understanding Symbols
We propose a new benchmark evaluating the performance of multimodal large language models on rebus puzzles.
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Multimodal Reasoning
on REBUS
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