Qwen2.5-1.5B
PulseAugur coverage of Qwen2.5-1.5B — every cluster mentioning Qwen2.5-1.5B across labs, papers, and developer communities, ranked by signal.
3 天有情绪数据
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MemReward uses graph neural networks to boost LLM rewards with limited labels
Researchers have developed MemReward, a novel graph-based framework designed to improve reinforcement learning for large language models (LLMs) when labeled data is scarce. This method uses a graph neural network (GNN) …
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LLM analysis method reveals training data secrets and ethical risks
Researchers have developed a method using singular value decomposition (SVD) of a large language model's weight matrix to reveal interpretable semantic subspaces. This technique, requiring minimal code and no model infe…
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New defense framework tackles multilingual prompt injection attacks
Researchers have developed MIPIAD, a defense framework to combat indirect prompt injection attacks in multilingual large language model systems. The framework combines a Qwen2.5-1.5B model fine-tuned with LoRA, TF-IDF l…