Lamp: When large language models meet personalization
This paper highlights the importance of personalization in large language models and
introduces the LaMP benchmark--a novel benchmark for training and evaluating language …
introduces the LaMP benchmark--a novel benchmark for training and evaluating language …
International Workshop on Multimodal Learning-2023 Theme: Multimodal Learning with Foundation Models
The recent advancements in machine learning and artificial intelligence (particularly
foundation models such as BERT, GPT-3, T5, ResNet, etc.) have demonstrated remarkable …
foundation models such as BERT, GPT-3, T5, ResNet, etc.) have demonstrated remarkable …
The importance of modeling social factors of language: Theory and practice
Natural language processing (NLP) applications are now more powerful and ubiquitous
than ever before. With rapidly developing (neural) models and ever-more available data …
than ever before. With rapidly developing (neural) models and ever-more available data …
From matching to generation: A survey on generative information retrieval
Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …
applied in scenarios like search engines, question answering, and recommendation …
Personalized soups: Personalized large language model alignment via post-hoc parameter merging
While Reinforcement Learning from Human Feedback (RLHF) aligns Large Language
Models (LLMs) with general, aggregate human preferences, it is suboptimal for learning …
Models (LLMs) with general, aggregate human preferences, it is suboptimal for learning …
Recent advances in neural text generation: A task-agnostic survey
In recent years, considerable research has been dedicated to the application of neural
models in the field of natural language generation (NLG). The primary objective is to …
models in the field of natural language generation (NLG). The primary objective is to …
Optimization methods for personalizing large language models through retrieval augmentation
This paper studies retrieval-augmented approaches for personalizing large language
models (LLMs), which potentially have a substantial impact on various applications and …
models (LLMs), which potentially have a substantial impact on various applications and …
Generating user-engaging news headlines
The potential choices for news article headlines are enormous, and finding the right balance
between conveying the essential message and capturing the reader's attention is key to …
between conveying the essential message and capturing the reader's attention is key to …
Decoding the silent majority: Inducing belief augmented social graph with large language model for response forecasting
Automatic response forecasting for news media plays a crucial role in enabling content
producers to efficiently predict the impact of news releases and prevent unexpected …
producers to efficiently predict the impact of news releases and prevent unexpected …
PERSONACHATGEN: Generating personalized dialogues using GPT-3
YJ Lee, CG Lim, Y Choi, JH Lm… - Proceedings of the 1st …, 2022 - aclanthology.org
Recently, many prior works have made their own agents generate more personalized and
engaging responses using personachat. However, since this dataset is frozen in 2018, the …
engaging responses using personachat. However, since this dataset is frozen in 2018, the …