cs.CL(2023-12-04)

📊 共 13 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) (12 🔗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 Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models 提出检索增强的多模态思维链推理方法,提升大语言模型在复杂推理任务上的性能。 large language model chain-of-thought
2 Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication 提出Exchange-of-Thought框架,通过跨模型通信增强LLM的复杂推理能力 large language model chain-of-thought
3 Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models 利用大语言模型进行零样本和少样本知识图谱三元组抽取 large language model
4 Data Management For Training Large Language Models: A Survey 综述:面向大语言模型训练的数据管理方法研究 large language model
5 A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video 提出多模态视频摘要任务,同步提取关键帧并生成对应标题,构建数据集并提供基线系统。 multimodal
6 Competition-Level Problems are Effective LLM Evaluators 利用竞赛级编程题评估大语言模型的推理能力与数据污染问题 large language model chain-of-thought
7 Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings 提出基于LLM嵌入的文本分布偏移度量方法,提升模型监控中数据漂移的敏感性。 large language model
8 TPPoet: Transformer-Based Persian Poem Generation using Minimal Data and Advanced Decoding Techniques TPPoet:提出一种基于Transformer的波斯语诗歌生成模型,利用少量数据和高级解码技术提升生成质量。 large language model
9 Magicoder: Empowering Code Generation with OSS-Instruct Magicoder:利用OSS-Instruct赋能代码生成,媲美顶尖模型 large language model
10 A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia 提出Fakepedia数据集,用于评估和分析大型语言模型中的上下文信息采纳能力。 large language model
11 Know Your Audience: Do LLMs Adapt to Different Age and Education Levels? 评估LLM在不同年龄和教育水平下的文本适应性,揭示其在教育场景应用的局限性 large language model
12 Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models 利用众包数据和大型语言模型,实现近实时地震伤亡估计 large language model

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

#题目一句话要点标签🔗
13 Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment GroundedBERT:利用多模态部分对齐扩展BERT的视觉信息表示 representation learning multimodal visual grounding

⬅️ 返回 cs.CL 首页 · 🏠 返回主页