Biden’s executive order isn’t designed to address the gaps in school AI policies, nor do we want elected officials dictating education policy, however, it does draw attention to both the opportunities for AI in schools and some of the challenges and concerns around it. This alon...
(2018). Explanations based on the missing: Towards contrastive explanations with pertinent negatives. Advances in neural information processing systems, 31. Article University of Michigan IBM Research Dhurandhar, A., Shanmugam, K., Luss, R., & Olsen, P. A. (2018). Improving simple models ...
What are the most common negatives mentioned about Semrush? What challenges do people say they have that Semrush solves? Every question netted a lot of helpful information. Here’s what Gemini listed as common adjectives:
The rate of false negatives will decrease as we continue to train the models. Although AI is incredibly advanced, it can still inherit bias based on the data it is trained on. It’s important to keep this in mind when using AI-based writing in your submissions. AI content ...
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization. 2024. [arxiv] Xie and Schwertfeger. Empowering Robotics with Large Language Models: osmAG Map Comprehension with LLMs. 2024. [arxiv] Wu et al. Large Language Models are Parallel Multilingual ...
AI-generated text detection, while continually improving, is not yet foolproof and can produce false negatives or positives. This creates uncertainty and can undermine the credibility of the assessment process. Educators may struggle to discern whether the responses are genuinely student-generated or if...
By nearly all accounts, AI comes with both advantages and disadvantages, which individuals and organizations alike need to understand to maximize the benefits this technology brings while mitigating the negatives. Benefits of AIinclude the following. ...
learning process and control their misuse in higher education (Meyer et al.,2023). For the same reasons, scholars have called for future research to delve deeper into the positives and negatives of ChatGPT in higher education (Bahroun et al.,2023; Chaudhry et al.,2023; Dalalah & Dalalah...
In 2019, Danielle K. Citron of Boston University School of Law and Robert Chesney of the University of Texas, in apapercalled "Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security," coined the term "liar's dividend" to describe this phenomenon. In that paper,...
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives (AAAI2022) [github] Sentence Embeddings by Ensemble Distillation EASE: Entity-Aware Contrastive Learning of Sentence Embedding (NAACL2022) Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Dual-Vie...