cs.CL（2023-11-24）
📊 共 7 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Automatic detection of problem-gambling signs from online texts using large language models | 基于大语言模型自动检测在线文本中的赌博问题迹象 | large language model | ||
| 2 | Evaluating Large Language Models through Gender and Racial Stereotypes | 建立框架评估语言模型中的性别与种族偏见 | large language model | ||
| 3 | OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models | 提出OpusCleaner和OpusTrainer以简化机器翻译模型训练过程 | large language model | ||
| 4 | Controlled Text Generation via Language Model Arithmetic | 提出模型算术以实现对文本生成的精确控制 | large language model | ✅ |
🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language | 通过自然语言反馈实现大语言模型的数据高效对齐 | reinforcement learning RLHF large language model | ||
| 6 | tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models | 提出tinyCLAP以降低对比语言-音频预训练模型的复杂性 | distillation multimodal | ||
| 7 | Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses | 提出对比学习方法以解决公共评论与监管回应的匹配问题 | contrastive learning |