cs.CL(2023-11-22)

📊 共 12 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (5)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 MAIRA-1: A specialised large multimodal model for radiology report generation 提出MAIRA-1以解决胸部X光报告生成问题 large language model multimodal
2 Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting 提出知识图谱重塑方法以解决大型语言模型的幻觉问题 large language model
3 On the Calibration of Large Language Models and Alignment 系统研究大型语言模型的置信度校准与对齐 large language model
4 Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper 提出参数高效微调方法以解决大语言模型的可扩展性问题 large language model
5 Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus 提出一种无参考的基于不确定性的幻觉检测方法 large language model
6 CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning 提出CoachLM以解决LLM指令数据集质量问题 instruction following
7 AutoKG: Efficient Automated Knowledge Graph Generation for Language Models 提出AutoKG以解决知识图谱构建效率低下问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗
8 Intention and Context Elicitation with Large Language Models in the Legal Aid Intake Process 利用大型语言模型提升法律援助接待过程中的意图与上下文提取 reinforcement learning offline reinforcement learning large language model
9 Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications 提出强化逻辑反馈学习以提升大型语言模型的法律推理能力 reinforcement learning large language model
10 Efficient Transformer Knowledge Distillation: A Performance Review 提出高效变换器知识蒸馏以解决模型压缩与计算效率问题 distillation
11 Current Topological and Machine Learning Applications for Bias Detection in Text 利用几何模型与机器学习检测文本偏见 predictive model large language model
12 Complexity-Guided Curriculum Learning for Text Graphs 提出基于复杂性引导的课程学习方法以优化文本图数据训练 curriculum learning

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