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cs.CL2023
Learning to Diversify Neural Text Generation via Degenerative Model
Jimin Hong, ChaeHun Park, Jaegul Choo
Neural language models often fail to generate diverse and informative texts, limiting their applicability in real-world problems. While previous approaches have proposed to address…
cs.CL2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
ChaeHun Park, Seungil Chad Lee, Daniel Rim +1
Despite the recent advances in open-domain dialogue systems, building a reliable evaluation metric is still a challenging problem. Recent studies proposed learnable metrics based o…