7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2026
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…
cs.CL2025★ 1 cited
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…
cs.CL2020★ 7 cited
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…