cs.CL（2024-07-30）

📊 共 18 篇论文 | 🔗 4 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (16 🔗4) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (16 篇)

#题目一句话要点标签🔗⭐
1 CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge CLR-Fact：通过复杂逻辑推理评估大语言模型在事实知识上的能力 large language model chain-of-thought
2 Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection 提出Evolver，利用链式演化提示增强大型多模态模型在恶意Meme检测中的性能 multimodal ✅
3 Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens 提出基于Surprising Tokens的大语言模型预训练数据自适应检测方法 large language model
4 Accelerating Large Language Model Inference with Self-Supervised Early Exits 提出自监督早期退出方法，加速大语言模型推理并保持精度 large language model
5 Automated Review Generation Method Based on Large Language Models 提出基于大语言模型的自动文献综述生成方法，提升科研效率并降低认知负荷。 large language model
6 Comparison of Large Language Models for Generating Contextually Relevant Questions 对比大型语言模型在教育场景下生成上下文相关问题的能力 large language model
7 Meltemi: The first open Large Language Model for Greek Meltemi：首个开源希腊语大型语言模型，参数量达70亿。 large language model ✅
8 LLMs for Enhanced Agricultural Meteorological Recommendations 利用大型语言模型和提示工程提升农业气象建议的准确性和相关性 large language model chain-of-thought
9 Enhancing Agricultural Machinery Management through Advanced LLM Integration 利用LLM与多轮Prompt工程提升农业机械智能管理决策水平 large language model chain-of-thought
10 Abstractive summarization from Audio Transcription 提出一种基于LoRA和量化的端到端音频摘要模型，降低计算资源需求。 large language model
11 A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoder 提出A2SF，通过引入遗忘因子解决Transformer解码器中token剪枝的累积注意力评分偏差问题。 large language model
12 ThinK: Thinner Key Cache by Query-Driven Pruning ThinK：一种查询驱动的KV缓存剪枝方法，用于减少长序列LLM推理的内存占用。 large language model ✅
13 Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection 提出标签引导Prompt方法，解决多标签少样本Aspect Category Detection问题 large language model
14 Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language 提出Prompt2DeModel以简化复杂神经符号模型的知识建模 large language model
15 Effects of a Prompt Engineering Intervention on Undergraduate Students' AI Self-Efficacy, AI Knowledge and Prompt Engineering Ability: A Mixed Methods Study 提示工程干预提升本科生AI自效能、知识和提示词编写能力 large language model
16 Adapting Safe-for-Work Classifier for Malaysian Language Text: Enhancing Alignment in LLM-Ops Framework 提出马来语安全内容分类器以解决多语言内容过滤问题 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🔗⭐
17 Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective 综述：大型语言模型时代的情感计算——NLP视角下的研究进展与挑战 reinforcement learning RLHF large language model
18 Pruning Large Language Models with Semi-Structural Adaptive Sparse Training 提出AST框架，通过半结构化自适应稀疏训练压缩大语言模型，显著降低性能损失。 distillation large language model

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