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Large language model validity via enhanced conformal prediction methods
We develop new conformal inference methods for obtaining validity guarantees on the
output of large language models (LLMs). Prior work in conformal language modeling …
output of large language models (LLMs). Prior work in conformal language modeling …
Bi-factorial preference optimization: Balancing safety-helpfulness in language models
Fine-tuning large language models (LLMs) on human preferences, typically through
reinforcement learning from human feedback (RLHF), has proven successful in enhancing …
reinforcement learning from human feedback (RLHF), has proven successful in enhancing …
Investigating Open Source LLMs to Retrofit Competency Questions in Ontology Engineering
Abstract Competency Questions (CQs) are essential in ontology engineering; they express
an ontology's functional requirements as natural language questions, offer crucial insights …
an ontology's functional requirements as natural language questions, offer crucial insights …
[PDF][PDF] Explainable Knowledge-Aware Recommender Systems
FN Cardoso - 2024 - estudogeral.uc.pt
Curiosity is the root of human evolution. Through this simple but multi-faceted trait, humanity
has controlled fire and learned to use it to cook its food and light its streets. This same …
has controlled fire and learned to use it to cook its food and light its streets. This same …
VERA: Validation and evaluation of retrieval-augmented systems
The increasing use of Retrieval-Augmented Generation (RAG) systems in various
applications necessitates stringent protocols to ensure RAG systems accuracy, safety, and …
applications necessitates stringent protocols to ensure RAG systems accuracy, safety, and …