Tool learning with large language models: A survey
Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …
Large language models for tabular data: Progresses and future directions
Tables contain a significant portion of the world's structured information. The ability to
efficiently and accurately understand, process, reason about, analyze, and generate tabular …
efficiently and accurately understand, process, reason about, analyze, and generate tabular …
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation
In this paper, we present a systematic effort to design, evaluate, and implement a realistic
conversational recommender system (CRS). The objective of our system is to allow users to …
conversational recommender system (CRS). The objective of our system is to allow users to …
AutoPresent: Designing Structured Visuals from Scratch
Designing structured visuals such as presentation slides is essential for communicative
needs, necessitating both content creation and visual planning skills. In this work, we tackle …
needs, necessitating both content creation and visual planning skills. In this work, we tackle …
Visual Large Language Models for Generalized and Specialized Applications
Visual-language models (VLM) have emerged as a powerful tool for learning a unified
embedding space for vision and language. Inspired by large language models, which have …
embedding space for vision and language. Inspired by large language models, which have …