cs.CL（2023-12-14）

📊 共 15 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) (13 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2)

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

#	题目	一句话要点	标签	🔗	⭐
1	Self-Evaluation Improves Selective Generation in Large Language Models	自我评估提升大语言模型的选择性生成能力	large language model
2	TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning	TAP4LLM：通过采样、增强和打包半结构化数据，提升大语言模型在表格推理任务中的性能。	large language model
3	Evaluating Large Language Models for Health-related Queries with Presuppositions	UPHILL数据集揭示大型语言模型在处理带预设的健康查询时的事实性缺陷	large language model
4	Language Modeling on a SpiNNaker 2 Neuromorphic Chip	在SpiNNaker 2神经形态芯片上实现语言建模，性能媲美LSTM	large language model
5	Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM	提出Arabic Mini-ClimateGPT，一个面向气候变化和可持续性的阿拉伯语LLM。	large language model	✅
6	The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation	通过说服式对话研究大语言模型对错误信息的信念操纵	large language model
7	TigerBot: An Open Multilingual Multitask LLM	TigerBot：开源多语言多任务大语言模型	large language model
8	Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement	提出元认知增强的少样本提示方法，结合正向激励提升大语言模型性能	large language model
9	Measurement in the Age of LLMs: An Application to Ideological Scaling	利用大型语言模型进行意识形态倾向性测量，解决社会科学中概念模糊问题。	large language model
10	Towards Verifiable Text Generation with Evolving Memory and Self-Reflection	提出VTG框架，通过演进记忆和自反思实现可验证的文本生成。	large language model
11	Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention	Zebra模型：通过分层分组局部-全局注意力机制扩展LLM上下文窗口	large language model
12	ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks	提出FP6中心策略以优化LLMs的量化方法	large language model
13	Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach	提出一种多步骤流程，用于识别天文论文中的行星地名，并实现高精度消歧。	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
14	Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning	CoT-Influx：强化上下文剪枝提升大语言模型数学推理能力	reinforcement learning large language model chain-of-thought
15	Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision	弱监督到强泛化：利用弱监督激发强大模型能力	reinforcement learning RLHF

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