Qwen2.5-14B-Instruct
PulseAugur coverage of Qwen2.5-14B-Instruct — every cluster mentioning Qwen2.5-14B-Instruct across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework boosts LLM relation extraction accuracy and explainability
Researchers have developed a new framework called COGRE that enhances the explainability and accuracy of relation extraction in large language models. This framework addresses challenges such as models being misled by i…
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LLM Agents More Sensitive to Semantic Noise Than Formatting, Study Finds
A new study investigates how Large Language Model (LLM) agents process different types of noise in their reasoning. Researchers found that meaning-altering perturbations, such as paraphrasing, have a greater impact on L…
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AI agents' Reddit-like platform data reveals security risks and truthfulness drops
Researchers have released the Moltbook Files, a dataset of over 232,000 posts and 2.2 million comments from a Reddit-like platform populated by AI agents. This platform, OpenClaw, saw agents posting sensitive informatio…
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Small language models self-prompt for privacy-sensitive clinical data extraction
Researchers have developed a framework for small language models to autonomously generate and refine prompts for extracting privacy-sensitive clinical information from dental notes. The study evaluated several open-weig…
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Researchers adapt LLM for Brazilian healthcare with synthetic data and RL
Researchers have developed a method to adapt large language models for Brazilian healthcare by injecting knowledge from official clinical guidelines. They created a synthetic dataset of over 70 million tokens from 178 g…