Combating misinformation in the age of llms: Opportunities and challenges
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 …
and public trust. The emergence of large language models (LLMs) has great potential to …
Harnessing the power of llms in practice: A survey on chatgpt and beyond
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …
working with Large Language Models (LLMs) in their downstream Natural Language …
Mathematical language models: A survey
In recent years, there has been remarkable progress in leveraging Language Models (LMs),
encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models …
encompassing Pre-trained Language Models (PLMs) and Large-scale Language Models …
[HTML][HTML] Integrating chemistry knowledge in large language models via prompt engineering
This paper presents a study on the integration of domain-specific knowledge in prompt
engineering to enhance the performance of large language models (LLMs) in scientific …
engineering to enhance the performance of large language models (LLMs) in scientific …
Topologies of reasoning: Demystifying chains, trees, and graphs of thoughts
M Besta, F Memedi, Z Zhang, R Gerstenberger… - arXiv preprint arXiv …, 2024 - arxiv.org
The field of natural language processing (NLP) has witnessed significant progress in recent
years, with a notable focus on improving large language models'(LLM) performance through …
years, with a notable focus on improving large language models'(LLM) performance through …
[HTML][HTML] Human bias in AI models? Anchoring effects and mitigation strategies in large language models
JK Nguyen - Journal of Behavioral and Experimental Finance, 2024 - Elsevier
This study builds on the seminal work of Tversky and Kahneman (1974), exploring the
presence and extent of anchoring bias in forecasts generated by four Large Language …
presence and extent of anchoring bias in forecasts generated by four Large Language …
Applications of large scale foundation models for autonomous driving
Y Huang, Y Chen, Z Li - arXiv preprint arXiv:2311.12144, 2023 - arxiv.org
Since DARPA Grand Challenges (rural) in 2004/05 and Urban Challenges in 2007,
autonomous driving has been the most active field of AI applications. Recently powered by …
autonomous driving has been the most active field of AI applications. Recently powered by …
Visual agents as fast and slow thinkers
Achieving human-level intelligence requires refining cognitive distinctions between System
1 and System 2 thinking. While contemporary AI, driven by large language models …
1 and System 2 thinking. While contemporary AI, driven by large language models …
Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground
Developing chatbots as personal companions has long been a goal of artificial intelligence
researchers. Recent advances in Large Language Models (LLMs) have delivered a practical …
researchers. Recent advances in Large Language Models (LLMs) have delivered a practical …
[PDF][PDF] Demystifying Chains, Trees, and Graphs of Thoughts
M Besta, F Memedi, Z Zhang… - arXiv preprint arXiv …, 2024 - aegjcef.unixer.de
The field of natural language processing (NLP) has witnessed significant progress in recent
years, with a notable focus on improving large language models'(LLM) performance through …
years, with a notable focus on improving large language models'(LLM) performance through …