Tag: Large Language Model
All the articles with the tag "Large Language Model".
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HAIR: Hardness-Aware Inverse Reinforcement Learning with Introspective Reasoning for LLM Alignment
HAIR introduces a novel LLM alignment method using hardness-aware inverse reinforcement learning and introspective reasoning, constructing a balanced safety dataset and training category-specific reward models with GRPO-S, achieving state-of-the-art harmlessness while preserving usefulness across multiple benchmarks.
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LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
本文提出LZ惩罚方法,基于LZ77压缩算法的码长变化动态调整自回归语言模型的采样分布,在贪婪解码下有效消除退化重复,同时保持推理基准性能。
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X-Fusion: Introducing New Modality to Frozen Large Language Models
本文提出X-Fusion框架,通過凍結LLM參數並添加雙塔結構,高效實現多模態理解和生成,同時保留原始語言能力。
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Prompt-Based Cost-Effective Evaluation and Operation of ChatGPT as a Computer Programming Teaching Assistant
本文通过设计基于ICL和CoT的提示模板,实现了ChatGPT在编程教育中的成本效益评估和操作,显著降低了手动评估需求并提升了反馈的结构化分析。
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Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
本文提出Flab-Pruner,一种结合词汇、层和FFN剪枝的统一结构剪枝方法,通过KL散度优化和自定义微调策略,在减少代码LLM参数的同时保持高性能和效率。