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Found 4 papers, 2 papers with code
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models
In this work, we present compositional fine-tuning (CFT): an approach based on explicitly decomposing a target task into component tasks, and then fine-tuning smaller LMs on a curriculum of such component tasks.
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections
Based on recent advances in realistic language modeling (GPT-3) and cross-modal representations (CLIP), Gaud\'i was developed to help designers search for inspirational images using natural language.
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems
Conversations aimed at determining good recommendations are iterative in nature.
Developing a Conversational Recommendation System for Navigating Limited Options
We have developed a conversational recommendation system designed to help users navigate through a set of limited options to find the best choice.
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