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On the essence and prospect: An investigation of alignment approaches for big models
Big models have achieved revolutionary breakthroughs in the field of AI, but they might also
pose potential concerns. Addressing such concerns, alignment technologies were …
pose potential concerns. Addressing such concerns, alignment technologies were …
Socialbench: Sociality evaluation of role-playing conversational agents
Large language models (LLMs) have advanced the development of various AI
conversational agents, including role-playing conversational agents that mimic diverse …
conversational agents, including role-playing conversational agents that mimic diverse …
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
Large vision-language models (LVLMs) are ignorant of the up-to-date knowledge, such as
LLaVA series, because they cannot be updated frequently due to the large amount of …
LLaVA series, because they cannot be updated frequently due to the large amount of …
mPLUG-Octopus: The Versatile Assistant Empowered by A Modularized End-to-End Multimodal LLM
Inspired by the recent developments of large language models (LLMs), we propose mPLUG-
Octopus, a versatile conversational assistant designed to provide users with coherent …
Octopus, a versatile conversational assistant designed to provide users with coherent …
Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
The increasing size and complexity of pre-trained language models have demonstrated
superior performance in many applications, but they usually require large training datasets …
superior performance in many applications, but they usually require large training datasets …
Think before you speak: Cultivating communication skills of large language models via inner monologue
The emergence of large language models (LLMs) further improves the capabilities of open-
domain dialogue systems and can generate fluent, coherent, and diverse responses …
domain dialogue systems and can generate fluent, coherent, and diverse responses …
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
Role-playing is important for Large Language Models (LLMs) to follow diverse instructions
while maintaining role identity and the role's pre-defined ability limits. Existing role-playing …
while maintaining role identity and the role's pre-defined ability limits. Existing role-playing …
REM: A Ranking-Based Automatic Evaluation Method for LLMs
J Yang, Y Tan, W Hu, Z Yang, X Zhou, Z Luo… - … Conference on Artificial …, 2024 - Springer
Abstract The emergence of Large Language Models (LLMs) has garnered attention due to
their remarkable comprehension and generation capabilities across various language tasks …
their remarkable comprehension and generation capabilities across various language tasks …
Comparative Performance of Transformer Models for Cultural Heritage in NLP Tasks
AI and Machine Learning are crucial in advancing technology, especially for processing
large, complex datasets. The transformer model, a primary approach in natural language …
large, complex datasets. The transformer model, a primary approach in natural language …