cs.CL（2024-02-04）

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支柱九：具身大模型 (Embodied Foundation Models) (12 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (12 篇)

#题目一句话要点标签🔗⭐
1 Can Large Language Models Learn Independent Causal Mechanisms? 提出独立因果机制以提升大语言模型的泛化能力 large language model
2 Are Large Language Models Table-based Fact-Checkers? 探索大型语言模型在表格事实验证中的应用潜力 large language model
3 GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Model 提出GLaPE以解决大语言模型提示评估依赖金标准标签的问题 large language model ✅
4 Factuality of Large Language Models: A Survey 评估与提升大型语言模型的事实准确性 large language model
5 KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion 提出KICGPT以解决知识图谱补全中的长尾问题 large language model
6 Evaluating Large Language Models in Analysing Classroom Dialogue 利用GPT-4分析课堂对话以提升教学质量 large language model
7 A Survey of Large Language Models in Finance (FinLLMs) 综述金融领域的大型语言模型以应对现有研究不足 large language model
8 Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models 提出思维协同机制以降低大语言模型的API成本 large language model chain-of-thought
9 Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning 提出SAGE框架以自动生成面向解决方案的代理模型 large language model chain-of-thought
10 A Survey on Data Selection for LLM Instruction Tuning 提出数据选择方法以优化大语言模型的指令调优 large language model instruction following
11 Aligner: Efficient Alignment by Learning to Correct 提出Aligner以解决大语言模型对齐效率问题 large language model
12 "What's my model inside of?": Exploring the role of environments for grounded natural language understanding 提出生态环境设计以提升自然语言理解模型的性能 large language model

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