OPT releases open decoder-only transformers up to 175B parameters that match GPT-3 performance at one-seventh the carbon cost, along with code and training logs.
arXiv preprint arXiv:2103.12407 (2021)
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QwenSafe adapts Qwen3-VL-8B via SFT and DPO on a metadata2CRD synthesis pipeline to classify 12 Apple CRDs, reporting large gains in positive-class recall over Qwen3-VL, LLaVA-1.6, and Gemini-2.5-Flash.
The paper introduces a taxonomy of AI safety for LLMs organized into Trustworthy AI, Responsible AI, and Safe AI perspectives, accompanied by a review of state-of-the-art methods, challenges, and future directions.
citing papers explorer
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OPT: Open Pre-trained Transformer Language Models
OPT releases open decoder-only transformers up to 175B parameters that match GPT-3 performance at one-seventh the carbon cost, along with code and training logs.
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QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs
QwenSafe adapts Qwen3-VL-8B via SFT and DPO on a metadata2CRD synthesis pipeline to classify 12 Apple CRDs, reporting large gains in positive-class recall over Qwen3-VL, LLaVA-1.6, and Gemini-2.5-Flash.
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AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions
The paper introduces a taxonomy of AI safety for LLMs organized into Trustworthy AI, Responsible AI, and Safe AI perspectives, accompanied by a review of state-of-the-art methods, challenges, and future directions.