• [2404.04633] Context versus Prior Knowledge in Language Models🔍
• Context versus Prior Knowledge in Language Models🔍
• How is a LLM able to override its prior knowledge through In ...🔍
• How is a LLM able to override its prior knowledge through ...🔍
• Larger language models do in|context learning differently🔍
• What is In|context Learning🔍
• Context|prior knowledge interaction in language models🔍
• How Large Language Models Encode Context Knowledge? A Layer ...🔍

[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 - ACL Anthology

Context versus Prior Knowledge in Language Models. Kevin DuD. Vésteinn SnæbjarnarsonR. Niklas StoehrD. Jennifer C. WhiteN. Aaron Schein@. Ryan ...

Context versus Prior Knowledge in Language Models - arXiv

We hypothesize that smaller models may be less persuaded by assertive contexts because they may be worse at integrating context into its answer.

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.

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 - AIModels.fyi

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

How is a LLM able to override its prior knowledge through In ...

Discussing large language models (LLMs) and how we can overried their prior knowledge through in-context.

How is a LLM able to override its prior knowledge through ... - Reddit

Hi guys! I came across a Google's blog ( https://research.google/blog/larger-language-models-do-in-context-learning-differently/ ) ...

[D] LLMs: Why does in-context learning work? What exactly ... - Reddit

In context learning is a feature of Large language models (LLMs). Basically, you give the model examples of what you want it to do (via ...

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.

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 ...

Context-prior knowledge interaction 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 being ...

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 ...

Larger language models do in-context learning differently

While small language models ignore flipped labels presented in-context and thus rely primarily on semantic priors from pretraining, large models can override ...

In-Context Learning, In Context - The Gradient

The idea that in-context learning merely locates some latent ability or piece of knowledge a language model has already imbibed from its ...

What is In-Context Learning of LLMs? - IKANGAI

In-context learning (ICL) refers to a remarkable capability of large language models (LLMs) that allows these models to perform new tasks ...

How does ChatGPT retain the context of previous questions?

Using language models to search for the relevant context from the previous discussion (can be done by embedding questions and answers and doing ...

Controllable Context Sensitivity and the Knob Behind It - Powerdrill AI

The paper "Context versus prior knowledge in language models" explores how language models balance context and prior knowledge. It ...

Measuring the importance of context when modeling language ...

It is widely accepted that language requires context in order to function as communication between speakers and listeners.