Alexander Wan
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View article: What Evidence Do Language Models Find Convincing?
What Evidence Do Language Models Find Convincing? Open
Retrieval-augmented language models are being increasingly tasked with subjective, contentious, and conflicting queries such as "is aspartame linked to cancer". To resolve these ambiguous queries, one must search through a large range of w…
View article: GLUECons: A Generic Benchmark for Learning under Constraints
GLUECons: A Generic Benchmark for Learning under Constraints Open
Recent research has shown that integrating domain knowledge into deep learning architectures is effective; It helps reduce the amount of required data, improves the accuracy of the models' decisions, and improves the interpretability of mo…
View article: Poisoning Language Models During Instruction Tuning
Poisoning Language Models During Instruction Tuning Open
Instruction-tuned LMs such as ChatGPT, FLAN, and InstructGPT are finetuned on datasets that contain user-submitted examples, e.g., FLAN aggregates numerous open-source datasets and OpenAI leverages examples submitted in the browser playgro…
View article: GLUECons: A Generic Benchmark for Learning Under Constraints
GLUECons: A Generic Benchmark for Learning Under Constraints Open
Recent research has shown that integrating domain knowledge into deep learning architectures is effective -- it helps reduce the amount of required data, improves the accuracy of the models' decisions, and improves the interpretability of …
View article: Retained Catheter in the Aorta
Retained Catheter in the Aorta Open
Due to the recent increase in endovascular procedures, retained foreign bodies such as stents and catheters in vasculature have become a common and serious complication. Treatments for these complications vary depending on the acuity and s…