3 citations · 3 across the 5 of their papers we have counts for
5 papers
Neuron-Aware Active Few-Shot Learning for LLMs
Zhuowei Chen, Liwei Chen, Christian Schunn +2
Active Few-Shot Learning (AFSL) adapts LLMs to specialized domains by identifying the most valuable unlabeled samples for annotation and use as few-shot demonstrations, effectively…
SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework
Shayan Peyghambari Oskoui, Norah Almousa, Zhaoyi Joey Hou +5
Effective writing feedback is among the strongest drivers of student learning, yet producing it at scale is labor-intensive. LLMs offer a natural path to scaling writing support, b…
Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity
Zhaoyi Joey Hou, Adriana Kovashka, Xiang Lorraine Li
Evaluating creativity is challenging, even for humans, not only because of its subjectivity but also because it involves complex cognitive processes. Inspired by work in marketing,…
Improve LLM-based Automatic Essay Scoring with Linguistic Features
Zhaoyi Joey Hou, Alejandro Ciuba, Xiang Lorraine Li
Automatic Essay Scoring (AES) assigns scores to student essays, reducing the grading workload for instructors. Developing a scoring system capable of handling essays across diverse…
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
Kyle Buettner, Sina Malakouti, Xiang Lorraine Li +1
Existing object recognition models have been shown to lack robustness in diverse geographical scenarios due to domain shifts in design and context. Class representations need to be…