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Diffusion-based language models have recently emerged as a promising alternative to autoregressive generation, yet their reliance on …
Continual Learning, also known as Lifelong or Incremental Learning, has recently gained renewed interest among the Artificial …
One of the main challenges faced when training a deep learning based model to classify histopathological images is the color and shape …
Multimodal multihop question answering is a complex
task that requires reasoning over multiple sources of information, such as images …
One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute …
Text-based game environments are challenging because agents must deal with long sequences of text, execute compositional actions using …
We present a simple meta quantization approach that quantizes different layers of a large language model (LLM) at different bit levels, …
The advent of the transformer has sparked a quick growth in the size of language models, far outpacing hardware improvements. (Dense) …
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
Reward models (RMs) have driven the state-of-the-art performance of LLMs today by enabling the integration of human feedback into the …