4 citations · 14 across the 19 of their papers we have counts for
4 papers · 2 filters
Retrieval-augmented Multilingual Knowledge Editing
Weixuan Wang, Barry Haddow, Alexandra Birch
Knowledge represented in Large Language Models (LLMs) is quite often incorrect and can also become obsolete over time. Updating knowledge via fine-tuning is computationally resourc…
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
Nikolay Bogoychev, Pinzhen Chen, Barry Haddow +1
Deploying large language models (LLMs) encounters challenges due to intensive computational and memory requirements. Our research examines vocabulary trimming (VT) inspired by rest…
Cache & Distil: Optimising API Calls to Large Language Models
Guillem Ramírez, Matthias Lindemann, Alexandra Birch +1
Large-scale deployment of generative AI tools often depends on costly API calls to a Large Language Model (LLM) to fulfil user queries. To curtail the frequency of these calls, one…
Assessing the Reliability of Large Language Model Knowledge
Weixuan Wang, Barry Haddow, Alexandra Birch +1
Large language models (LLMs) have been treated as knowledge bases due to their strong performance in knowledge probing tasks. LLMs are typically evaluated using accuracy, yet this…