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cs.CL2023
Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations
Chung-Ching Chang, William W. Cohen, Yun-Hsuan Sung
We propose a theoretical framework for formulating language model decoder algorithms with dynamic programming and information theory. With dynamic programming, we lift the design o…
cs.CL2023★ 1 cited
Trusted Source Alignment in Large Language Models
Vasilisa Bashlovkina, Zhaobin Kuang, Riley Matthews +4
Large language models (LLMs) are trained on web-scale corpora that inevitably include contradictory factual information from sources of varying reliability. In this paper, we propo…