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Found 10 papers, 4 papers with code
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks
Large Language Models (LLMs) are increasingly becoming the preferred foundation platforms for many Natural Language Processing tasks such as Machine Translation, owing to their quality often comparable to or better than task-specific models, and the simplicity of specifying the task through natural language instructions or in-context examples.
Dialogue-based generation of self-driving simulation scenarios using Large Language Models
Simulation is an invaluable tool for developing and evaluating controllers for self-driving cars.
Knowledge Base Question Answering for Space Debris Queries
In this work we present a system, developed for the European Space Agency (ESA), that can answer complex natural language queries, to support engineers in accessing the information contained in a KB that models the orbital space debris environment.
The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python
Large Language Models (LLMs) have successfully been applied to code generation tasks, raising the question of how well these models understand programming.
Distributionally Robust Recurrent Decoders with Random Network Distillation
Neural machine learning models can successfully model language that is similar to their training distribution, but they are highly susceptible to degradation under distribution shift, which occurs in many practical applications when processing out-of-domain (OOD) text.
