A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - ar** an end-to-end chat-centric video
understanding system, coined as VideoChat. It integrates video foundation models and …

Multimodal foundation models: From specialists to general-purpose assistants

C Li, Z Gan, Z Yang, J Yang, L Li… - … and Trends® in …, 2024 - nowpublishers.com
Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …

Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark

A Pan, JS Chan, A Zou, N Li, S Basart… - International …, 2023 - proceedings.mlr.press
Artificial agents have traditionally been trained to maximize reward, which may incentivize
power-seeking and deception, analogous to how next-token prediction in language models …

Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings

S Hao, T Liu, Z Wang, Z Hu - Advances in neural …, 2023 - proceedings.neurips.cc
Integrating large language models (LLMs) with various tools has led to increased attention
in the field. Existing approaches either involve fine-tuning the LLM, which is both …

A survey on LLM-generated text detection: Necessity, methods, and future directions

J Wu, S Yang, R Zhan, Y Yuan, LS Chao… - Computational …, 2025 - direct.mit.edu
The remarkable ability of large language models (LLMs) to comprehend, interpret, and
generate complex language has rapidly integrated LLM-generated text into various aspects …