- Injecting Domain Knowledge in Language Models for Task|Oriented ...🔍
- Give us the Facts🔍
- Research Focus🔍
- Unveiling factuality and injecting knowledge for LLMs ...🔍
- Knowledge Editing for Large Language Models🔍
- Educating LLMs like Human Students🔍
- Knowledge Injection into Dialogue Generation via Language Models🔍
- Unifying Large Language Models and Knowledge Graphs🔍
Injecting New Knowledge into Large Language Models via ...
The proposed knowledge injection process is divided into two stages: (1) Memorization: adapters are trained to memorize domain-specific KB facts; (2).
Give us the Facts: Enhancing Large Language Models With ...
To overcome these limitations, researchers have proposed enhancing data-driven PLMs with knowledge-based KGs to incorporate explicit factual knowledge into PLMs ...
Research Focus: Week of May 13, 2024 - Microsoft
In a recent paper: Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning, researchers from Microsoft investigate the ...
KnowGPT: Knowledge Injection for Large Language Models - athina.ai
The advancement of Artificial Intelligence (AI) has been significantly marked by Large Language Models (LLMs) like ChatGPT and GPT-4. These ...
Unveiling factuality and injecting knowledge for LLMs ... - SciEngine
leading ontologies into a knowledge skeleton. Building upon the ... ing large language models with knowledge graphs for fact- aware ...
Knowledge Editing for Large Language Models: A Survey
Although such fine-tuning techniques are widely used and capable of injecting new knowledge into LLMs, they are known for the following disadvantages: (1) Even ...
InfuserKI: Enhancing Large Language Models with Knowledge ...
Abstract: Though Large Language Models (LLMs) have shown remarkable open-generation capabilities across diverse domains, they struggle with ...
Educating LLMs like Human Students: Structure-aware Injection of ...
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning ... In recent years, Large Language Models (LLMs) have shown ...
EntGPT: Linking Generative Large Language Models with ... - athina.ai
The ability of Large Language Models (LLMs) to generate factually correct output remains relatively unexplored due to the lack of ...
Knowledge Injection into Dialogue Generation via Language Models
To address this problem, we propose InjK, which is a two-stage approach to inject knowledge into a dialogue generation model. First, we train a large-scale ...
... Large Language Models, Multi-Modal Models, and Reinforcement Learning. In ... into production, leveraging the latest in language models and multi-modal AI.
Unifying Large Language Models and Knowledge Graphs
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to ...
Prompt Injection Attacks on Large Language Models
Abstract: We are currently witnessing dramatic advances in the capabilities of Large Language Models (LLMs). They are already being adopted in ...
A review of some techniques for inclusion of domain-knowledge into ...
In many such instances, machine-based model construction may benefit significantly from being provided with human-knowledge of the domain ...
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks ...
Large language models (LLMs) often require task-relevant knowledge to augment their internal knowledge through prompts. However, simply ...
Assessing Knowledge Editing in Language Models via Multi-Hop ...
The information stored in large language models ... This has recently given rise to a range of techniques for injecting new facts through updating model weights.
A comparative analysis of knowledge injection strategies for large ...
edge into encoder–decoder large pre-trained language models. This is achieved via a generative knowledge infilling objective through.
knowledge editing | Papers With Code
Test-time interventions for language models can enhance factual accuracy, mitigate harmful outputs, and improve model efficiency without costly retraining. 1.
Knowledge Accuracy and Reducing Hallucinations in LLMs via ...
The continued evolution of dynamic domain knowledge injection techniques holds promise for advancing the capabilities of large language models ...
Awesome Knowledge Distillation of LLM Papers - GitHub
KD of LLMs: This survey delves into knowledge distillation (KD) techniques in Large Language Models (LLMs), highlighting KD's crucial role in ...