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cs.CL2025
ToDi: Token-wise Distillation via Fine-Grained Divergence Control
Seongryong Jung, Suwan Yoon, DongGeon Kim +1
Large language models (LLMs) offer impressive performance but are impractical for resource-constrained deployment due to high latency and energy consumption. Knowledge distillation…
cs.CL2024
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
Joonho Yang, Seunghyun Yoon, Byeongjeong Kim +1
Through the advent of pre-trained language models, there have been notable advancements in abstractive summarization systems. Simultaneously, a considerable number of novel methods…