Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents

Z Zhang, Y Yao, A Zhang, X Tang, X Ma, Z He… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have dramatically enhanced the field of language
intelligence, as demonstrably evidenced by their formidable empirical performance across a …

Mint: Evaluating llms in multi-turn interaction with tools and language feedback

X Wang, Z Wang, J Liu, Y Chen, L Yuan… - arXiv preprint arXiv …, 2023 - arxiv.org
To solve complex tasks, large language models (LLMs) often require multiple rounds of
interactions with the user, sometimes assisted by external tools. However, current evaluation …

If llm is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents

K Yang, J Liu, J Wu, C Yang, YR Fung, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …

Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records

W Shi, R Xu, Y Zhuang, Y Yu, J Zhang… - Proceedings of the …, 2024 - aclanthology.org
Clinicians often rely on data engineers to retrieve complex patient information from
electronic health record (EHR) systems, a process that is both inefficient and time …

Advancing llm reasoning generalists with preference trees

L Yuan, G Cui, H Wang, N Ding, X Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning.
Finetuned from Mistral-7B and CodeLlama-70B, Eurus models achieve state-of-the-art …

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 …

Executable code actions elicit better llm agents

X Wang, Y Chen, L Yuan, Y Zhang, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Model (LLM) agents, capable of performing a broad range of actions, such
as invoking tools and controlling robots, show great potential in tackling real-world …

Mindsearch: Mimicking human minds elicits deep ai searcher

Z Chen, K Liu, Q Wang, J Liu, W Zhang, K Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Information seeking and integration is a complex cognitive task that consumes enormous
time and effort. Inspired by the remarkable progress of Large Language Models, recent …

From text to insight: large language models for materials science data extraction

M Schilling-Wilhelmi, M Ríos-García, S Shabih… - arXiv preprint arXiv …, 2024 - arxiv.org
The vast majority of materials science knowledge exists in unstructured natural language,
yet structured data is crucial for innovative and systematic materials design. Traditionally, the …