Research on enterprise AI September 2023

This is far from a comprehensive listing and is inevitably biased towards my own areas of research interest. Note that several of the links are to pdf files and not to arXiv abstracts.

Beyond the Chat: Executable and Verifiable Text-Editing with LLMs

https://arxiv.org/abs/2309.15337

Fine-tuning and aligning question answering models for complex information extraction tasks

https://arxiv.org/abs/2309.14805

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

https://arxiv.org/abs/2309.14365

Large Language Model Alignment: A Survey

https://arxiv.org/abs/2309.15025

Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede’s Cultural Dimensions

https://arxiv.org/abs/2309.12342

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in

healthcare

https://arxiv.org/abs/2309.12325

The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”

https://owainevans.github.io/reversal_curse.pdf

Bias and Fairness in ChatBots: An Overview

https://arxiv.org/abs/2309.08836

When Large Language Models Meet Citation: A Survey

https://arxiv.org/abs/2309.09727

Can Large Language Models Understand Real-World Complex Instructions?

https://arxiv.org/abs/2309.09150

Assessing the nature of large language models: A caution against anthropocentrism

https://arxiv.org/abs/2309.07683

The Rise and Potential of Large Language Model Based Agents: A Survey

https://arxiv.org/abs/2309.07864

Evaluating Chatbots to Promote Users’ Trust – Practices and Open Problems

https://arxiv.org/abs/2309.05680

A Compendium of Data Sources for Data Science, Machine Learning and Artificial Intelligence

https://arxiv.org/abs/2309.05682

A Survey of Hallucination in “Large” Foundation Models

https://arxiv.org/abs/2309.05922

Bridging the Gap: Externalizing Knowledge for Generative Search in Domain-Specific Contexts

https://2023.essir.eu/FDIA/papers/FDIA_2023_paper_3.pdf

Bias and Fairness in Large Language Models: A Survey

https://arxiv.org/abs/2309.00770

A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture

https://arxiv.org/abs/2309.01105

A Survey of Document-Level Information Extraction

https://arxiv.org/abs/2309.13249

Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

https://arxiv.org/abs/2309.14084

Trustworthiness Evaluations of Search Results: The Impact of Rank and Misinformation

https://arxiv.org/pdf/2309.11029.pdf

Martin White 12 October 2023