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Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences
Due to the cumbersome nature of human evaluation and limitations of code-based
evaluation, Large Language Models (LLMs) are increasingly being used to assist humans in …
evaluation, Large Language Models (LLMs) are increasingly being used to assist humans in …
[HTML][HTML] Large language models meet user interfaces: The case of provisioning feedback
Abstract Incorporating Generative Artificial Intelligence (GenAI), especially Large Language
Models (LLMs), into educational settings presents valuable opportunities to boost the …
Models (LLMs), into educational settings presents valuable opportunities to boost the …
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
There has been growing interest from both practitioners and researchers in engaging end
users in AI auditing, to draw upon users' unique knowledge and lived experiences …
users in AI auditing, to draw upon users' unique knowledge and lived experiences …
Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories
An important challenge in interactive machine learning, particularly in subjective or
ambiguous domains, is fostering bi-directional alignment between humans and models …
ambiguous domains, is fostering bi-directional alignment between humans and models …
SPHERE: Scaling Personalized Feedback in Programming Classrooms with Structured Review of LLM Outputs
Effective personalized feedback is crucial for learning programming. However, providing
personalized, real-time feedback in large programming classrooms poses significant …
personalized, real-time feedback in large programming classrooms poses significant …
AI-Resilient Interfaces
AI is powerful, but it can make choices that result in objective errors, contextually
inappropriate outputs, and disliked options. We need AI-resilient interfaces that help people …
inappropriate outputs, and disliked options. We need AI-resilient interfaces that help people …
How Far Are We From AGI: Are LLMs All We Need?
The evolution of artificial intelligence (AI) has profoundly impacted human society, driving
significant advancements in multiple sectors. Yet, the escalating demands on AI have …
significant advancements in multiple sectors. Yet, the escalating demands on AI have …
VideoDiff: Human-AI Video Co-Creation with Alternatives
To make an engaging video, people sequence interesting moments and add visuals such as
B-rolls or text. While video editing requires time and effort, AI has recently shown strong …
B-rolls or text. While video editing requires time and effort, AI has recently shown strong …
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
Data augmentation is crucial to make machine learning models more robust and safe.
However, augmenting data can be challenging as it requires generating diverse data points …
However, augmenting data can be challenging as it requires generating diverse data points …
Traceable Text: Deepening Reading of AI-Generated Summaries with Phrase-Level Provenance Links
H Kambhamettu, J Flores, A Head - arxiv preprint arxiv:2409.13099, 2024 - arxiv.org
As AI-generated summaries proliferate, how can we help people understand the veracity of
those summaries? In this short paper, we design a simple interaction primitive, traceable …
those summaries? In this short paper, we design a simple interaction primitive, traceable …