7 citations · 8 across the 3 of their papers we have counts for
3 papers · 1 filter
Retcon -- a Prompt-Based Technique for Precise Control of LLMs in Conversations
David Kogan, Sam Nguyen, Masanori Suzuki +1
Recent advances in Large Language Models (LLMs) allow agents to execute complex natural language tasks. Many LLM applications, such as support agents, teaching assistants, and inte…
Ace-CEFR -- A Dataset for Automated Evaluation of the Linguistic Difficulty of Conversational Texts for LLM Applications
David Kogan, Max Schumacher, Sam Nguyen +4
There is an unmet need to evaluate the language difficulty of short, conversational passages of text, particularly for training and filtering Large Language Models (LLMs). We intro…
Language Representation Models for Fine-Grained Sentiment Classification
Brian Cheang, Bailey Wei, David Kogan +2
Sentiment classification is a quickly advancing field of study with applications in almost any field. While various models and datasets have shown high accuracy inthe task of binar…