Abstract: Current research efforts are focused on enhancing the thinking and reasoning capability of large language model (LLM) by prompting, data-driven emergence and inference-time computation. In ...
Anthropic has introduced Claude Sonnet 4.6, saying it is its most powerful model yet for coding, reasoning and handling large volumes of data. The model is now available as the default option for ...
Recent studies have revealed the potential of training open-source Large Language Models (LLMs) to unleash LLMs' reasoning ability for enhancing vision-language navigation (VLN) performance, and ...
Moving beyond the traditional paradigms of "Thinking with Text" (e.g., Chain-of-Thought) and "Thinking with Images", we propose "Thinking with Video"—a new paradigm that unifies visual and textual ...
WATER VALLEY – Every year, Mississippi has 1,200 unfilled computing jobs but has fewer than 200 computer science graduates. But Base Camp Coding Academy in Water Valley is doing its part to try to ...
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Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories. As a Spanish and STEAM educator, I have many opportunities to try ...
Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.
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