In recent research, a state-of-the-art technique has been introduced for utilizing Large Language Models (LLMs) to verify RDF (Resource Description Framework) triples, emphasizing the significance of ...

Large language models (LLMs) have made significant success in various language tasks, but steering their outputs to meet specific properties remains a challenge. Researchers are attempting to solve ...

AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an adversary. AI systems, like chatbots with access to tools ...

AI safety frameworks have emerged as crucial risk management policies for AI companies developing frontier AI systems. These frameworks aim to address catastrophic risks associated with AI, including ...

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. These models aim to bridge the gap between ...

Stochastic optimization problems involve making decisions in environments with uncertainty. This uncertainty can arise from various sources, such as sensor noise, system disturbances, or unpredictable ...

A major challenge in the field of Speech-Language Models (SLMs) is the lack of comprehensive evaluation metrics that go beyond basic textual content modeling. While SLMs have shown significant ...

Collaborative perception has become a critical area of research in autonomous driving and robotics. In these fields, agents—such as vehicles or robots—must work together to understand their ...

Large Language Models (LLMs) have demonstrated impressive performance in tasks like Natural Language Processing, generation, and text synthesis. However, they still encounter major difficulties in ...

Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial approaches employ heuristics to ...

Text embedding models have become foundational in natural language processing (NLP). These models convert text into high-dimensional vectors that capture semantic relationships, enabling tasks like ...

Music generation has evolved significantly, integrating vocal and instrumental tracks into cohesive compositions. Pioneering works like Jukebox demonstrated end-to-end generation of vocal music, ...