cs.CL（2023-12-20）

📊 共 17 篇论文 | 🔗 5 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (14 🔗4) 支柱二：RL算法与架构 (RL & Architecture) (2 🔗1) 支柱七：动作重定向 (Motion Retargeting) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (14 篇)

#题目一句话要点标签🔗⭐
1 Exploring Multimodal Large Language Models for Radiology Report Error-checking 提出多模态大语言模型用于辅助放射科医生进行报告错误检查。 large language model multimodal
2 dIR -- Discrete Information Retrieval: Conversational Search over Unstructured (and Structured) Data with Large Language Models dIR：利用大语言模型实现非结构化与结构化数据的对话式检索 large language model
3 CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models CORECODE：一个用于评估中文大语言模型常识推理能力的对话数据集。 large language model ✅
4 Language Resources for Dutch Large Language Modelling 为荷兰语大语言模型构建资源，包括微调模型、数据集和排行榜 large language model
5 WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning WaveCoder：通过指令调优显著增强代码大语言模型在多任务场景下的泛化能力 large language model
6 Enhancing Consistency in Multimodal Dialogue System Using LLM with Dialogue Scenario 利用对话场景和LLM增强多模态对话系统的一致性，应用于旅游咨询。 multimodal
7 MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models MedBench：构建大规模中文医学基准，评估医学大语言模型能力 large language model
8 Fine-tuning Large Language Models for Adaptive Machine Translation 微调Mistral 7B以实现自适应机器翻译，提升医疗领域翻译质量。 large language model
9 Learning and Forgetting Unsafe Examples in Large Language Models 提出ForgetFilter算法，解决大语言模型在含不安全数据上微调的安全问题。 large language model
10 Mini-GPTs: Efficient Large Language Models through Contextual Pruning Mini-GPTs：通过上下文剪枝实现高效的大语言模型 large language model
11 Retrieval-augmented Multilingual Knowledge Editing 提出ReMaKE，一种检索增强的多语言知识编辑方法，解决LLM在多语言环境下的知识更新问题。 large language model ✅
12 AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation 提出AgentCoder，通过多智能体协作迭代测试优化代码生成。 large language model
13 Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors 评估零样本AI生成文本检测器在主题变化下的鲁棒性 large language model ✅
14 Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? 研究表明，仅需少量多语言数据微调即可将英语LLM转化为多语种模型。 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
15 Machine Mindset: An MBTI Exploration of Large Language Models 提出Machine Mindset以解决个性化AI中的一致性问题 DPO direct preference optimization large language model ✅
16 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data 利用负样本蒸馏LLM，提升小模型在复杂推理任务上的能力 distillation large language model chain-of-thought

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
17 LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces LlaMaVAE：通过连续潜在句子空间引导大型语言模型生成 geometric consistency large language model

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