cs.CL（2023-12-11）

📊 共 14 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (12 🔗4) 支柱六：视频提取与匹配 (Video Extraction) (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 GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models GPTBIAS：利用大型语言模型评估偏见的综合框架 large language model
2 EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models EQ-Bench：用于评估大型语言模型情商的新型基准测试 large language model ✅
3 KnowGPT: Knowledge Graph based Prompting for Large Language Models 提出KnowGPT，通过知识图谱增强LLM，显著提升其在知识密集型任务上的准确性。 large language model
4 Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding 提出基于未来约束的大语言模型解码方法，提升文本生成质量并减少不良行为。 large language model
5 Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need 提出基于生成式大语言模型的统一文本分析引擎，通过Prompt Tuning解决临床NLP任务。 large language model
6 User Modeling in the Era of Large Language Models: Current Research and Future Directions 利用大型语言模型进行用户建模：综述研究现状与未来方向 large language model ✅
7 Get an A in Math: Progressive Rectification Prompting 提出渐进式修正提示（PRP）方法，显著提升LLM在数学应用题上的解题精度。 large language model chain-of-thought ✅
8 On Meta-Prompting 提出基于范畴论的理论框架，用于形式化描述和泛化LLM的元提示行为。 large language model
9 LLM360: Towards Fully Transparent Open-Source LLMs 提出LLM360以实现完全透明的开源大型语言模型 large language model
10 UstanceBR: a social media language resource for stance prediction 发布UstanceBR：一个用于立场预测的巴西葡萄牙语社交媒体语言资源。 multimodal
11 "What's important here?": Opportunities and Challenges of Using LLMs in Retrieving Information from Web Interfaces 利用LLM从Web界面检索信息：机遇与挑战分析 large language model
12 MATK: The Meme Analytical Tool Kit 提出MATK工具包以解决现有表情包分析工具不足的问题 multimodal ✅

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

#题目一句话要点标签🔗⭐
13 PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models 提出PromptMTopic，利用大语言模型进行模因的无监督多模态主题建模。 HuMoR large language model multimodal

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

#题目一句话要点标签🔗⭐
14 Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations 提出CBERL模型，解决对话多模态情感识别中的类别不平衡问题。 representation learning multimodal

⬅️ 返回 cs.CL 首页 · 🏠 返回主页