Human-like object concept representations emerge naturally in multimodal large language models
The conceptualization and categorization of natural objects in the human mind have long
intrigued cognitive scientists and neuroscientists, offering crucial insights into human …
intrigued cognitive scientists and neuroscientists, offering crucial insights into human …
Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks
Á Huertas-García, A Martín… - … on Emerging Topics …, 2024 - ieeexplore.ieee.org
Advanced language models demonstrate remarkable capabilities but remain vulnerable to
adversarial word camouflage techniques. These techniques introduce visually perceptible …
adversarial word camouflage techniques. These techniques introduce visually perceptible …
Dual active learning for reinforcement learning from human feedback
Aligning large language models (LLMs) with human preferences is critical to recent
advances in generative artificial intelligence. Reinforcement learning from human feedback …
advances in generative artificial intelligence. Reinforcement learning from human feedback …
Investigating Context Effects in Similarity Judgements in Large Language Models
Large Language Models (LLMs) have revolutionised the capability of AI models in
comprehending and generating natural language text. They are increasingly being used to …
comprehending and generating natural language text. They are increasingly being used to …