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Edge of Tomorrow: Evaluating Misinformation and Bias in LLM-Powered Chatbots on Climate Change and Mental Health

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.patter.2023.100779openalex-extracted
GPT detectors are biased against non-native English writers
inferredcites →https://doi.org/10.1037//1089-2680.2.2.175openalex-extracted
Confirmation bias: A ubiquitous phenomenon in many guises.
inferredcites →https://doi.org/10.1037/1089-2680.2.2.175openalex-extracted
Confirmation Bias: A Ubiquitous Phenomenon in Many Guises
inferredcites →https://doi.org/10.1038/s41586-023-05881-4openalex-extracted
Foundation models for generalist medical artificial intelligence
inferredcites →https://doi.org/10.1038/s41598-023-46995-zopenalex-extracted
Evaluation of the performance of GPT-3.5 and GPT-4 on the Polish Medical Final Examination
inferredcites →https://doi.org/10.1038/s43247-023-01084-xopenalex-extracted
ChatClimate: Grounding conversational AI in climate science
inferredcites →https://doi.org/10.1109/apsit58554.2023.10201782openalex-extracted
Text Classification of Climate Change Tweets using Artificial Neural Networks, FastText Word Embeddings, and Latent Dirichlet Allocation
inferredcites →https://doi.org/10.1109/icnwc57852.2023.10127496openalex-extracted
Prediction and Analysis of Sentiments of Reddit Users towards the Climate Change Crisis
inferredcites →https://doi.org/10.1109/tetc.2020.2974478openalex-extracted
A Mental Health Chatbot for Regulating Emotions (SERMO) - Concept and Usability Test
inferredcites →https://doi.org/10.1145/3287560.3287596openalex-extracted
Model Cards for Model Reporting
inferredcites →https://doi.org/10.1145/3375627.3375820openalex-extracted
Saving Face
inferredcites →https://doi.org/10.1145/3419764openalex-extracted
Bridging the Gap Between Ethics and Practice
inferredcites →https://doi.org/10.1145/3643540openalex-extracted
Mental-LLM
inferredcites →https://doi.org/10.1177/2053951716679679openalex-extracted
The ethics of algorithms: Mapping the debate
inferredcites →https://doi.org/10.1191/1478088706qp063oaopenalex-extracted
Using thematic analysis in psychology
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-demo.3openalex-extracted
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
inferredcites →https://doi.org/10.21203/rs.3.rs-3600821/v1openalex-extracted
Fine-tuning ClimateBert transformer with ClimaText for the disclosure analysis of climate-related financial risks
inferredcites →https://doi.org/10.2139/ssrn.3408010openalex-extracted
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
inferredcites →https://doi.org/10.2139/ssrn.4229146openalex-extracted
CLIMATEBERT: A Pretrained Language Model for Climate-Related Text
inferredcites →https://doi.org/10.2139/ssrn.4407205openalex-extracted
Enhancing Large Language Models with Climate Resources
inferredcites →https://doi.org/10.2139/ssrn.4470719openalex-extracted
Unlocking Pandora's Box: Unveiling the Elusive Realm of AI Text Detection
inferredcites →https://doi.org/10.48550/arxiv.2001.00964openalex-extracted
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
inferredcites →https://doi.org/10.48550/arxiv.2108.07258openalex-extracted
On the Opportunities and Risks of Foundation Models
inferredcites →https://doi.org/10.48550/arxiv.2212.00689openalex-extracted
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text
inferredcites →https://doi.org/10.48550/arxiv.2301.04253openalex-extracted
Towards Answering Climate Questionnaires from Unstructured Climate Reports
inferredcites →https://doi.org/10.48550/arxiv.2301.05578openalex-extracted
Toward General Design Principles for Generative AI Applications
inferredcites →https://doi.org/10.48550/arxiv.2303.13375openalex-extracted
Capabilities of GPT-4 on Medical Challenge Problems
inferredcites →https://doi.org/10.48550/arxiv.2303.18027openalex-extracted
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
inferredcites →https://doi.org/10.48550/arxiv.2304.05368openalex-extracted
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.2305.09617openalex-extracted
Towards Expert-Level Medical Question Answering with Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2308.14346openalex-extracted
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
inferredcites →https://doi.org/10.48550/arxiv.2309.10020openalex-extracted
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
inferredcites →https://doi.org/10.48550/arxiv.2309.15461openalex-extracted
ChatCounselor: A Large Language Models for Mental Health Support
inferredcites →https://doi.org/10.48550/arxiv.2310.08099openalex-extracted
ClimateNLP: Analyzing Public Sentiment Towards Climate Change Using Natural Language Processing
inferredcites →https://doi.org/10.63317/2d7umxifj8wzopenalex-extracted
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare
inferredcites →https://doi.org/10.48550/arxiv.2310.02932openalex-snapshot
Assessing Large Language Models on Climate Information
inferredcites →https://doi.org/10.57702/ljteqmrbopenalex-snapshot
Bleu: a method for automatic evaluation of machine translation
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