Browsing: Hugging Face
The collaborative paradigm of large and small language models (LMs) effectively balances performance and cost, yet its pivotal challenge lies…
Traditional data presentations typically separate the presenter and visualization into two separate spaces–the 3D world and a 2D screen–enforcing visualization-centric…
Transformers have achieved great success in numerous NLP tasks but continue to exhibit notable gaps in multi-step factual reasoning, especially…
Most real-world image editing tasks require multiple sequential edits to achieve desired results. Current editing approaches, primarily designed for single-object…
Real-World Gaps in AI Governance Research: AI safety and reliability in everyday deploymentsby Ilan Strauss, Isobel Moure, Tim O’Reilly and…
In a real-world corpus, knowledge frequently recurs across documents but often contains inconsistencies due to ambiguous naming, outdated information, or…
As new products are emerging daily, recommendation systems are required to quickly adapt to possible new domains without needing extensive…
Learning to solve complex tasks with signal temporal logic (STL) specifications is crucial to many real-world applications. However, most previous…
Many methods for improving Large Language Model (LLM) agents for sequential decision-making tasks depend on task-specific knowledge engineering–such as prompt…
Lip synchronization, known as the task of aligning lip movements in an existing video with new input audio, is typically…