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cs.CL2024
CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
Large language models (LLMs) have demonstrated self-improvement capabilities via feedback and refinement, but current small language models (SLMs) have had limited success in this…
cs.CL2024
Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks
Bo-Ru Lu, Nikita Haduong, Chien-Yu Lin +3
Transformer-based NLP models are powerful but have high computational costs that limit deployment. Finetuned encoder-decoder models are popular in specialized domains and can outpe…