Unverified50% confidenceFactExact time
THPL is a generative feeding decision-making framework for rainbow trout in recirculating aquaculture systems, combining continuous fish population kinematics information with the reasoning capabilities of large language models.
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10/5/2026
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UnverifiedThe THPL framework adopts a three-stage technical approach, decomposing the process from observing fish populations to feeding decisions into three progressive steps: trajectory-to-activity coefficient, hierarchical behavior encoder, and LLM fine-tuning.76% similarUnverifiedTHPL fine-tunes the large language model via LoRA and introduces counterfactual multimodal Direct Preference Optimization (counterfactual mDPO) to reinforce the model's causal reasoning capability.59% similarUnverifiedNormalizing flows can directly reuse the mature inference infrastructure of LLMs, including KV-cache management, tensor parallelism strategies, and inference acceleration techniques such as speculative decoding.54% similarUnverifiedWatermarks in large language models are a subtle statistical pattern introduced when the model selects tokens, rather than visible label information.54% similarUnverifiedCounterDistill的完整流水线为：数据→特征工程→模型训练/调优→SHAP+DiCE→反事实聚类→全局规则→评估→仪表盘54% similar
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