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Phillip Schneider

3 accepted papers

2025

CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding

COLING 2025industry

In today’s assistant landscape, personalisation enhances interactions, fosters long-term relationships, and deepens engagement. However, many systems struggle with retaining user preferences, leading to repetitive user requests and disengagement. Furthermore, the unregulated and opaque extraction of…

2024

HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking

COLING 2024main

In the digital age, seeking health advice on the Internet has become a common practice. At the same time, determining the trustworthiness of online medical content is increasingly challenging. Fact-checking has emerged as an approach to assess the veracity of factual claims using evidence from credi…

2024

MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering

ACL 2024findings

In recent years, Large Language Models (LLMs) have demonstrated an impressive ability to encode knowledge during pre-training on large text corpora. They can leverage this knowledge for downstream tasks like question answering (QA), even in complex areas involving health topics. Considering their hi…