cs.CL(2023-12-06)

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支柱九:具身大模型 (Embodied Foundation Models) (6 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (6 篇)

#题目一句话要点标签🔗
1 Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification 提出Think from Words方法,提升LLM在日语文本分类任务中类人认知能力。 large language model chain-of-thought
2 Efficient Large Language Models: A Survey 综述高效大型语言模型,从模型、数据和框架三方面系统性地回顾和分析相关研究。 large language model
3 Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models 研究揭示BERT免疫反转诅咒,但复杂逻辑推理能力仍有局限 large language model
4 Teaching Specific Scientific Knowledge into Large Language Models through Additional Training 通过增量训练将特定科学知识注入大型语言模型 large language model
5 Improving Activation Steering in Language Models with Mean-Centring 提出基于均值中心化的激活向量引导方法,提升语言模型控制能力 large language model
6 Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment Holmes:面向异构网卡集群的分布式LLM训练框架 large language model

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
7 DBCopilot: Natural Language Querying over Massive Databases via Schema Routing DBCopilot:提出一种基于模式路由的大规模数据库自然语言查询框架。 semantic mapping semantic map large language model

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