advanced LLM techniques

Even State-Of-The-Art Language Models Struggle to Understand Temporal Logic

Predicting future states is a critical mission in computer vision research – not least in robotics, where real-world situations should be considered. Machine learning systems entrusted with mission-critical tasks subsequently need adequate understanding of...

TransAgents: A Recent Approach to Machine Translation for Literary Works

Translating literary classics like into other languages often ends in losing the creator's unique style and cultural nuances. Addressing this longstanding challenge in literary translation is crucial to preserving the essence of works...

MARKLLM: An Open-Source Toolkit for LLM Watermarking

LLM watermarking, which integrates imperceptible yet detectable signals inside model outputs to discover text generated by LLMs, is important for stopping the misuse of huge language models. These watermarking techniques are mainly divided into...

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