cs.CL(2023-11-17)

📊 共 9 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) (5) 支柱二:RL算法与架构 (RL & Architecture) (3 🔗1) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)

#题目一句话要点标签🔗
1 PEFT-MedAware: Large Language Model for Medical Awareness 提出PEFT-MedAware以提升医疗问答模型的准确性 large language model
2 A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest 提出自增强方法以提升领域特定聊天机器人训练效果 large language model chain-of-thought
3 Flexible Model Interpretability through Natural Language Model Editing 提出自然语言模型编辑方法以提升模型可解释性 large language model
4 Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads 提出偏见分析框架以识别Transformer模型中的偏见头 large language model
5 Exploring the Relationship between In-Context Learning and Instruction Tuning 探讨上下文学习与指令调优之间的关系 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
6 TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes 提出TaCo以解决低资源语言的跨语言迁移问题 curriculum learning chain-of-thought
7 Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 提出TÜLU 2以提升预训练语言模型的适应性 DPO direct preference optimization large language model
8 FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction 提出FOAL方法以解决跨领域情感三元组提取问题 contrastive learning

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
9 When a Language Question Is at Stake. A Revisited Approach to Label Sensitive Content 提出伪标注方法以解决敏感内容标注问题 manipulation

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