Tool learning with large language models: A survey

C Qu, S Dai, X Wei, H Cai, S Wang, D Yin, J Xu… - Frontiers of Computer …, 2025 - Springer
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 …

Large language models for tabular data: Progresses and future directions

H Dong, Z Wang - Proceedings of the 47th International ACM SIGIR …, 2024 - dl.acm.org
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 …

Agent workflow memory

ZZ Wang, J Mao, D Fried, G Neubig - ar** language models with the ability to leverage
external tools for complex, goal-oriented tasks. However, interacting with external tools …

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation

S Yoon, X Wei, Y Jiang, R Pareek, F Ong, K Gao… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

AutoPresent: Designing Structured Visuals from Scratch

J Ge, ZZ Wang, X Zhou, YH Peng… - arxiv preprint arxiv …, 2025 - arxiv.org
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 …

Visual Large Language Models for Generalized and Specialized Applications

Y Li, Z Lai, W Bao, Z Tan, A Dao, K Sui, J Shen… - arxiv preprint arxiv …, 2025 - arxiv.org
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 …