7 articles tagged with "Language Models"
A recent study explores how large language models can assist in generating counterexamples, addressing a key challenge in mathematical reasoning.
The DEAF benchmark assesses the reliability of Audio Multimodal Large Language Models (Audio MLLMs) in processing acoustic signals, crucial for future AI developments.
A new method aims to improve the reasoning capabilities of diffusion large language models (dLLMs) by addressing coordination issues in multi-step tasks.
A new framework for unlearning in Large Language Models (LLMs) emphasizes safety, bias mitigation, and compliance with legal requirements like the right to be forgotten.
A recent paper on arXiv investigates language model agents, focusing on their expressions of identity and consciousness through language behavior.
The study on inference-time alignment highlights its role in optimizing large language models through candidate generation and selection processes.
The LieCraft framework aims to assess the safety risks of deception in Large Language Models (LLMs), addressing the implications of agency in AI systems.