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Empowering Language Models


Empowering Language Models with Knowledge Graph Reasoning ...

In this work, we propose knOwledge REasOning empowered Language Model (OREO-LM), which consists of a novel Knowledge Interaction Layer that can ...

Empowering Language Models with Knowledge Graph Reasoning ...

We propose knOwledge REasOning empowered Language Model(OREO-LM), which consists of a novel Knowledge Interaction Layer that can be flexibly plugged into ...

Empowering Language Models with Active Inquiry for Deeper ... - arXiv

In this paper, we introduce LaMAI (Language Model with Active Inquiry), designed to endow LLMs with this same level of interactive engagement.

Empowering Language Models: Pre-training, Fine-Tuning, and In ...

In-Context Learning: · Pre-training focuses on unsupervised learning from large-scale unlabeled data, capturing general language understanding.

EMOVA: Empowering Language Models to See, Hear and Speak ...

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotion.

EMOVA: Empowering Language Models to See, Hear and Speak ...

We propose EMOVA (EMotionally Omni-present Voice Assistant), to enable Large Language Models with end-to-end speech capabilities while maintaining the leading ...

Empowering Large Language Models: Tool Learning for Real-World ...

This half-day tutorial provides basic concepts of this field and an overview of recent advancements with several applications.

Empowering Large Language Models with Intrinsic Cross-Modal ...

In this paper, we propose SpeechGPT, a large language model with intrinsic cross-modal conversational abilities, capable of perceiving and generating multi- ...

Empowering Language Models to Reason and Act - StatusNeo

Chain of thought prompting is a form of in-context learning which uses examples of logical reasoning to teach a model how to “think through” a problem.

Empowering Large Language Models to Leverage Domain-Specific ...

Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, their performance in ...

Prompt Engineering: Empowering Language Models for Enhanced ...

Prompt engineering has emerged as a powerful technique to direct and shape the output of language models. By designing clear and specific ...

Empowering Large Language Models with Efficient and Automated ...

In this dissertation, we focus on building efficient and automated systems to reduce costs and democratize access to large language models.

Empowering Responsible Use of Large Language Models

Author(s): Zhao, Xuandong | Advisor(s): Wang, Yu-Xiang; Li, Lei | Abstract: The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT ...

Empowering Large Language Models as Political Experts with ...

We propose a Political Experts through Knowledge Graph Integration (PEG) framework. PEG entails the creation and utilization of a multi-view political ...

(PDF) Empowering Language Models Through Advanced Prompt ...

Language models have advanced from simple probabilistic frameworks to sophisticated neural networks like the Generative Pre-trained Transformer ...

GeoLM: Empowering Language Models for Geospatially Grounded ...

Repo for EMNLP23 paper "GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding" - knowledge-computing/geolm.

Graphing Wisdom: Empowering Large Language Models using ...

This blog discusses an alternative approach to empower LLMs to generate credible and factual content using Knowledge Graphs (KG).

Little Language Models: Empowering Children to be Future AI ...

Little Language Models is a co-creative AI education microworld for children (ages 8–16) within our CoCo platform. It is especially designed to be develop…

Understanding and Evaluating Vector Databases in Production

Language models are powerful artificial intelligence algorithms that have the ability to generate human-like text based on the input they ...

Empowering Language Models with Knowledge Graph Reasoning ...

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering · Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, ...