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SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.

, , , and . CoRR, (2022)

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CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering., , , , and . CoRR, (2024)SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models., , , and . CoRR, (2022)Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis., , , , , , , and . EACL (1), page 840-859. Association for Computational Linguistics, (2024)Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps., , , and . CoRR, (2023)HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models., , , , , , and . CoRR, (2023)PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation., , , , and . CoRR, (2024)An Empirical Comparison of the Quadratic Sieve Factoring Algorithm and the Pollard Rho Factoring Algorithm., and . CoRR, (2021)Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks., , , , , , , and . CoRR, (2024)SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models., , , and . EACL, page 1565-1588. Association for Computational Linguistics, (2023)