cs.CL（2024-02-24）

📊 共 14 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (12) 支柱一：机器人控制 (Robot Control) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

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

#题目一句话要点标签🔗⭐
1 SportQA: A Benchmark for Sports Understanding in Large Language Models 提出SportQA基准以解决大型语言模型在体育理解中的评估问题 large language model chain-of-thought
2 GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation 提出GAOKAO-MM基准以评估多模态模型的综合能力 multimodal
3 Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models 提出CDD和TED以解决大语言模型的数据污染问题 large language model
4 Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models 提出问题阐述提示以提升大语言模型的数学推理能力 large language model
5 Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens 提出Chimera框架以加速大语言模型推理过程 large language model
6 Foot In The Door: Understanding Large Language Model Jailbreaking via Cognitive Psychology 提出基于心理学的黑箱越狱方法以破解大型语言模型的安全性 large language model
7 PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails 提出PRP攻击策略以破解大型语言模型的防护机制 large language model
8 Linguistic Intelligence in Large Language Models for Telecommunications 评估大型语言模型在电信领域的语言智能 large language model
9 HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition 提出HD-Eval框架以解决LLM评估对齐问题 large language model
10 Enhanced User Interaction in Operating Systems through Machine Learning Language Models 通过机器学习语言模型提升操作系统中的用户交互体验 large language model
11 OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining 提出OAG-Bench以解决学术图谱挖掘中的基准不足问题 large language model
12 SemEval-2024 Task 8: Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection 提出加权层平均RoBERTa以解决机器生成文本检测问题 large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
13 Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics 探索多模态推理中的失败案例以提升物理动态理解 manipulation multimodal

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
14 Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models 结合Elasticsearch与Transformer模型提升云端大语言模型处理能力 world model world models large language model

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