On the essence and prospect: An investigation of alignment approaches for big models

X Wang, S Duan, X Yi, J Yao, S Zhou, Z Wei… - arxiv preprint arxiv …, 2024 - arxiv.org
Big models have achieved revolutionary breakthroughs in the field of AI, but they might also
pose potential concerns. Addressing such concerns, alignment technologies were …

Socialbench: Sociality evaluation of role-playing conversational agents

H Chen, H Chen, M Yan, W Xu, X Gao, W Shen… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) have advanced the development of various AI
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

C Li, Z Li, C **g, S Liu, W Shao, Y Wu, P Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

mPLUG-Octopus: The Versatile Assistant Empowered by A Modularized End-to-End Multimodal LLM

Q Ye, H Xu, M Yan, C Zhao, J Wang, X Yang… - Proceedings of the 31st …, 2023 - dl.acm.org
Inspired by the recent developments of large language models (LLMs), we propose mPLUG-
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

Y Chai, H **e, JS Qin - arxiv preprint arxiv:2501.18845, 2025 - arxiv.org
The increasing size and complexity of pre-trained language models have demonstrated
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

J Zhou, L Pang, H Shen, X Cheng - arxiv preprint arxiv:2311.07445, 2023 - arxiv.org
The emergence of large language models (LLMs) further improves the capabilities of open-
domain dialogue systems and can generate fluent, coherent, and diverse responses …

RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following

J Lu, J Li, G Shen, L Gui, S An, Y He, D Yin… - arxiv preprint arxiv …, 2025 - arxiv.org
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 …

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 …

Comparative Performance of Transformer Models for Cultural Heritage in NLP Tasks

TLM Suryanto, AP Wibawa… - Advance Sustainable …, 2025 - journal2.upgris.ac.id
AI and Machine Learning are crucial in advancing technology, especially for processing
large, complex datasets. The transformer model, a primary approach in natural language …