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reinforcement learning (2) resource-rational analysis (1) objective landscape (1) solution manifold (1) multi-task reinforcement learning (1) network compression (1) parameter space (1) object hallucination (1) large vision-language model (1) evaluation benchmark (1)

Papers

Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models NeurIPS 2024 Learning Options via Compression NeurIPS 2022 Modeling Human Exploration Through Resource-Rational Reinforcement Learning NeurIPS 2022 What they do when in doubt: a study of inductive biases in seq2seq learners ICLR 2021 Measuring the Intrinsic Dimension of Objective Landscapes ICLR 2018