cs.CL（2024-02-03）

📊 共 15 篇论文 | 🔗 3 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (13 🔗3) 支柱一：机器人控制 (Robot Control) (1) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (13 篇)

#题目一句话要点标签🔗⭐
1 MasonPerplexity at Multimodal Hate Speech Event Detection 2024: Hate Speech and Target Detection Using Transformer Ensembles 提出MasonPerplexity以解决多模态仇恨言论事件检测问题 multimodal
2 Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times 提出频率因素解释大语言模型大小与阅读时间拟合度的逆相关性 large language model
3 Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models 综述多种技术以扩展大语言模型的上下文长度 large language model
4 Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes 提出零-shot自我去偏见技术以减少社会刻板印象 large language model
5 Are Large Language Models Good Prompt Optimizers? 提出自动行为优化以解决LLM提示优化不足问题 large language model
6 SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking 提出SynthDST以解决对话状态跟踪中的数据稀缺问题 large language model ✅
7 More Agents Is All You Need 提出Agent Forest方法以提升大语言模型性能 large language model ✅
8 Do Moral Judgment and Reasoning Capability of LLMs Change with Language? A Study using the Multilingual Defining Issues Test 探讨语言对大型语言模型道德判断与推理能力的影响 large language model
9 A Closer Look at the Limitations of Instruction Tuning 揭示指令调优的局限性及其对LLM性能的影响 large language model
10 A Survey to Recent Progress Towards Understanding In-Context Learning 提出数据生成视角以系统性理解上下文学习机制 large language model
11 GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning 提出GITA以解决图结构信息理解不足的问题 large language model
12 EffiBench: Benchmarking the Efficiency of Automatically Generated Code 提出EffiBench以评估自动生成代码的效率问题 large language model ✅
13 Panacea: Pareto Alignment via Preference Adaptation for LLMs 提出Panacea以解决大语言模型对人类偏好的多维对齐问题 large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
14 Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models 提出基于上下文扰动和大语言模型的新闻情感极性降低方法 manipulation large language model

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗⭐
15 SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks 提出Socialite-Llama以解决社会科学任务中的隐含语用理解问题 HuMoR large language model

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