[2404.04633] Context versus Prior Knowledge in Language Models

We propose two mutual information-based metrics to measure a model's dependency on a context and on its prior about an entity.

Context versus Prior Knowledge in Language Models - arXiv

The existence of entity bias naturally raises the question of how it interacts with context to shape a model's response. Longpre et al. (2021) ...

[PDF] Context versus Prior Knowledge in Language Models ...

Two mutual information-based metrics are proposed to measure a model's dependency on a context and on its prior about an entity: the persuasion score of a ...

[2404.04633] Context versus Prior Knowledge in Language Models

We hypothesize that models perform this integration in a predictable way across different questions and contexts: models will rely more on prior knowledge for ...

Context versus Prior Knowledge in Language Models - Emergent Mind

The paper introduces persuasion and susceptibility scores to evaluate how context and prior knowledge impact language model decisions, using the YAGO ...

Context versus Prior Knowledge in Language Models - AIModels.fyi

To answer a question, language models often need to integrate prior knowledge learned during pretraining and new information presented in ...

Context versus Prior Knowledge in Language Models - Linnk AI

Language models integrate prior knowledge and new contextual information in predictable ways, relying more on prior knowledge for familiar entities and ...

Context versus Prior Knowledge in Language Models | Request PDF

Context versus Prior Knowledge in Language Models ... To read the full-text of this research, you can request a copy directly from the authors.

@gsarti on Hugging Face: " Today's pick in Interpretability ...

... and gender bias evaluation. Code: https://github.com/kdu4108/measureLM Paper: Context versus Prior Knowledge in Language Models (2404.04633) All ...

Context versus Prior Knowledge in Language Models - Paper Reading

To answer a question, language models often need to integrate prior knowledge learned during pretraining and new information presented in context.

문맥과 사전 지식이 언어 모델에 미치는 영향 - Linnk AI

Context versus Prior Knowledge in Language Models. by Kevi... at arxiv.org 04-09-2024. https://arxiv.org/pdf/2404.04633.pdf. Context versus Prior Knowledge in ...

Larger language models do in-context learning differently

We found that overriding prior knowledge is an emergent ability of model scale, as is the ability to learn in-context with semantically-unrelated labels.

‪Aaron Schein‬ - ‪Google Scholar‬

Context versus Prior Knowledge in Language Models. K Du, V Snæbjarnarson, N Stoehr, JC White, A Schein, R Cotterell. arXiv preprint arXiv:2404.04633, 2024.

What is In-context Learning, and how does it work - Lakera AI

In this approach, a task description or a set of examples is formulated in natural language and presented as a "prompt" to the model. This ...

How Large Language Models Encode Context Knowledge? A Layer ...

Previous work has showcased the intriguing capability of large language models (LLMs) in retrieving facts and processing context knowledge.

Supervised Knowledge Makes Large Language Models Better In ...

... language understanding and question answering remains under-explored. While previous in-context learning research has focused on enhancing ...

Can We Edit Factual Knowledge by In-Context Learning?

Previous studies have shown that large language models (LLMs) like GPTs store massive factual knowledge in their parameters. However, the stored knowledge ...

Activating Prior Knowledge for ELLs: 7 Activities to Make Learning ...

... know and then building the background knowledge necessary for ... background knowledge should align with your students' language levels.

How Prior Knowledge Affects Word Identification and Comprehension

It is important to note that both models predict more semantically similar miscues as an outcome of having prior knowledge, due to the added contribution of ...

‪Aaron Schein‬ - ‪Google Scholar‬

Context versus Prior Knowledge in Language Models. K Du, V Snæbjarnarson, N Stoehr, JC White, A Schein, R Cotterell. arXiv preprint arXiv:2404.04633, 2024.