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The benefits, risks and bounds of personalizing the alignment of large language models to individuals
Large language models (LLMs) undergo 'alignment'so that they better reflect human values
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …
Openfedllm: Training large language models on decentralized private data via federated learning
Trained on massive publicly available data, large language models (LLMs) have
demonstrated tremendous success across various fields. While more data contributes to …
demonstrated tremendous success across various fields. While more data contributes to …
The PRISM alignment dataset: What participatory, representative and individualised human feedback reveals about the subjective and multicultural alignment of large …
Human feedback is central to the alignment of Large Language Models (LLMs). However,
open questions remain about the methods (how), domains (where), people (who) and …
open questions remain about the methods (how), domains (where), people (who) and …
Modular pluralism: Pluralistic alignment via multi-llm collaboration
S Feng, T Sorensen, Y Liu, J Fisher, CY Park… - ar** large language
models (LLMs), LLMs often learn an averaged human preference and struggle to model …
models (LLMs), LLMs often learn an averaged human preference and struggle to model …
Large Language Models in Food Science: Innovations, Applications, and Future
Abstract Background Large Language Models (LLMs) are increasingly significant in food
science, transforming areas such as recipe development, nutritional analysis, food safety …
science, transforming areas such as recipe development, nutritional analysis, food safety …