MORCELA: A new AI approach to link LM scores from linguistic models to human acceptability judgments
In natural language processing (NLP), a central question is how well the probabilities generated by language models (LMs) align with ...
In natural language processing (NLP), a central question is how well the probabilities generated by language models (LMs) align with ...
Language models have demonstrated remarkable capabilities in processing various types of data, including multilingual text, code, mathematical expressions, images, and ...
Task planning in linguistic agents is gaining attention in LLM research, focusing on breaking down complex tasks into manageable subtasks ...
Understanding how LLMs understand natural language plans, such as instructions and recipes, is crucial for their reliable use in decision-making ...
You've probably heard that a picture is worth a thousand words, but can a large language model (LLM) get the ...
Imagine that you and a friend are playing a game in which your goal is to communicate secret messages using ...
Most notable LLMs are experts in widely spoken languages, such as English, but do not cover linguistic diversity that can ...
In artificial intelligence, a niche that stands out is the development of linguistic agents capable of navigating the intricate network ...
The exploration of aligning large language models (LLMs) with human values and knowledge has taken an important step forward with ...
Large language models (LLMs) are a recent trend as these models have gained significant importance in handling natural language processing ...