cs.CL（2024-08-23）

📊 共 13 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (6) 支柱九：具身大模型 (Embodied Foundation Models) (6 🔗1) 支柱八：物理动画 (Physics-based Animation) (1 🔗1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗⭐
1 Multimodal Contrastive In-Context Learning 提出多模态对比上下文学习框架，提升LLM在多模态任务中的ICL性能 contrastive learning large language model multimodal
2 CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition 提出CLLMFS框架，利用对比学习增强大语言模型在少样本NER任务上的性能 contrastive learning large language model
3 In-Context Learning with Reinforcement Learning for Incomplete Utterance Rewriting 提出基于强化学习的上下文学习框架，优化不完整语句重写的示例选择。 reinforcement learning large language model
4 Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora 提出自校正方法，通过自动筛选一致性标注提升语言模型偏好学习 preference learning instruction following
5 Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning 提出S2RCQL模型，缓解LLM在路径规划中的空间幻觉与上下文不一致问题 curriculum learning large language model
6 Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates 系统性评估LLM作为裁判在LLM对齐任务中的表现，提出可解释性指标和多样化Prompt模板。 RLHF DPO

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

#题目一句话要点标签🔗⭐
7 Causal-Guided Active Learning for Debiasing Large Language Models 提出因果引导的主动学习框架，用于消除大型语言模型中的偏见 large language model
8 Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation 针对低资源翻译，研究数据规模和多样性对LLM微调的影响 large language model
9 Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler 提出Power Scheduler，一种与Batch Size和Token数量无关的学习率调度器 large language model zero-shot transfer
10 CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers CodeRefine：利用LLM增强研究论文代码实现的自动化流程 large language model
11 Open Llama2 Model for the Lithuanian Language 发布首个立陶宛语开源Llama2大语言模型，并构建配套数据集与基准 large language model ✅
12 Investigating LLM Applications in E-Commerce 研究LLM在电商领域的应用：指令微调与传统模型的性能对比分析 large language model

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
13 LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction 提出LIMP框架，利用大语言模型增强意图感知的移动性预测 spatiotemporal large language model ✅

⬅️ 返回 cs.CL 首页 · 🏠 返回主页