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Found 5 papers, 0 papers with code
Neuralizing Regular Expressions for Slot Filling
Neural models and symbolic rules such as regular expressions have their respective merits and weaknesses.
CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs
When exploring the development of Artificial General Intelligence (AGI), a critical task for these models involves interpreting and processing information from multiple image inputs.
Ranked #3 on
Visual Reasoning
on Winoground
An In-depth Survey of Large Language Model-based Artificial Intelligence Agents
Due to the powerful capabilities demonstrated by large language model (LLM), there has been a recent surge in efforts to integrate them with AI agents to enhance their performance.
Logographic Information Aids Learning Better Representations for Natural Language Inference
Statistical language models conventionally implement representation learning based on the contextual distribution of words or other formal units, whereas any information related to the logographic features of written text are often ignored, assuming they should be retrieved relying on the cooccurence statistics.
Probing Script Knowledge from Pre-Trained Models
Script knowledge is critical for humans to understand the broad daily tasks and routine activities in the world.
