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 …

Artificial intelligence and healthcare: a journey through history, present innovations, and future possibilities

R Hirani, K Noruzi, H Khuram, AS Hussaini, EI Aifuwa… - Life, 2024 - mdpi.com
Artificial intelligence (AI) has emerged as a powerful tool in healthcare significantly
impacting practices from diagnostics to treatment delivery and patient management. This …

A roadmap to pluralistic alignment

T Sorensen, J Moore, J Fisher, M Gordon… - arxiv preprint arxiv …, 2024 - arxiv.org
With increased power and prevalence of AI systems, it is ever more critical that AI systems
are designed to serve all, ie, people with diverse values and perspectives. However …

(A) I am not A lawyer, but...: engaging legal experts towards responsible LLM policies for legal advice

I Cheong, K **a, KJK Feng, QZ Chen… - Proceedings of the 2024 …, 2024 - dl.acm.org
Large language models (LLMs) are increasingly capable of providing users with advice in a
wide range of professional domains, including legal advice. However, relying on LLMs for …

History, development, and principles of large language models: an introductory survey

Z Wang, Z Chu, TV Doan, S Ni, M Yang, W Zhang - AI and Ethics, 2024 - Springer
Abstract Language models serve as a cornerstone in natural language processing, utilizing
mathematical methods to generalize language laws and knowledge for prediction and …

Large Language Model‐Based Chatbots in Higher Education

D Yigci, M Eryilmaz, AK Yetisen… - Advanced Intelligent …, 2024 - Wiley Online Library
Large language models (LLMs) are artificial intelligence (AI) platforms capable of analyzing
and mimicking natural language processing. Leveraging deep learning, LLM capabilities …

The art of creative inquiry—from question asking to prompt engineering

G Sasson Lazovsky, T Raz… - The Journal of Creative …, 2024 - Wiley Online Library
As artificial intelligence and natural language processing methods rapidly develop,
communication plays a pivotal role in every‐day interactions. In this theoretical paper, we …

From words to numbers: Your large language model is secretly a capable regressor when given in-context examples

R Vacareanu, VA Negru, V Suciu… - First Conference on …, 2024 - openreview.net
We analyze how well pre-trained large language models (eg, Llama2, GPT-4, Claude 3, etc)
can do linear and non-linear regression when given in-context examples, without any …

Space group informed transformer for crystalline materials generation

Z Cao, X Luo, J Lv, L Wang - arxiv preprint arxiv:2403.15734, 2024 - arxiv.org
We introduce CrystalFormer, a transformer-based autoregressive model specifically
designed for space group-controlled generation of crystalline materials. The incorporation of …

Airavata: Introducing hindi instruction-tuned llm

J Gala, T Jayakumar, JA Husain, MSUR Khan… - arxiv preprint arxiv …, 2024 - arxiv.org
We announce the initial release of" Airavata," an instruction-tuned LLM for Hindi. Airavata
was created by fine-tuning OpenHathi with diverse, instruction-tuning Hindi datasets to make …