activity
20222024
most citedLabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems

12 citations · 32 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC20245 cited

Biodegradable Interactive Materials

Zhihan Zhang, Mallory Parker, Kuotian Liao +8

The sense of touch is fundamental to how we interact with the physical and digital world. Conventional interactive surfaces and tactile interfaces use electronic sensors embedded i…

cs.HC202412 cited

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems

Chu Li, Zhihan Zhang, Michael Saugstad +7

Crowdsourcing platforms have transformed distributed problem-solving, yet quality control remains a persistent challenge. Traditional quality control measures, such as prescreening…

cs.HC20231 cited

DeltaLCA: Comparative Life-Cycle Assessment for Electronics Design

Zhihan Zhang, Felix Hähnlein, Yuxuan Mei +4

Reducing the environmental footprint of electronics and computing devices requires new tools that empower designers to make informed decisions about sustainability during the desig…

cs.CL20232 cited

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Zhihan Zhang, Shuohang Wang, Wenhao Yu +6

Large language models (LLMs) can perform a wide range of tasks by following natural language instructions, without the necessity of task-specific fine-tuning. Unfortunately, the pe…

cs.CL2023

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions

Zhihan Zhang, Wenhao Yu, Zheng Ning +2

Contrast consistency, the ability of a model to make consistently correct predictions in the presence of perturbations, is an essential aspect in NLP. While studied in tasks such a…

cs.CL202312 cited

Improving Language Models via Plug-and-Play Retrieval Feedback

Wenhao Yu, Zhihan Zhang, Zhenwen Liang +2

Large language models (LLMs) exhibit remarkable performance across various NLP tasks. However, they often generate incorrect or hallucinated information, which hinders their practi…