cs.CL（2024-02-05）

📊 共 26 篇论文 | 🔗 9 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (23 🔗9) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱七：动作重定向 (Motion Retargeting) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (23 篇)

#题目一句话要点标签🔗⭐
1 Recursive Chain-of-Feedback Prevents Performance Degradation from Redundant Prompting 提出递归反馈链方法以解决冗余提示导致的性能下降问题 large language model
2 RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews 提出RACER以解决半结构化心理健康访谈分析效率低下问题 large language model
3 Unified Hallucination Detection for Multimodal Large Language Models 提出统一的多模态幻觉检测框架以解决MLLMs中的幻觉问题 large language model multimodal
4 MULTI: Multimodal Understanding Leaderboard with Text and Images 提出MULTI数据集以评估多模态大语言模型的真实能力 large language model multimodal
5 Nevermind: Instruction Override and Moderation in Large Language Models 提出指令覆盖与调节机制以提升大语言模型的指令遵循能力 large language model instruction following
6 Large Language Models are Geographically Biased 研究大型语言模型的地理偏见以提升公平性与准确性 large language model foundation model ✅
7 Enhancing textual textbook question answering with large language models and retrieval augmented generation 提出PLRTQA框架以解决文本教科书问答中的推理不足问题 large language model multimodal ✅
8 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models 提出不确定性思维算法以增强大语言模型的信息获取能力 large language model ✅
9 Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations 提出多语言马来西亚嵌入模型以提升语义表示能力 large language model ✅
10 EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models 提出EasyInstruct框架以解决指令处理标准化问题 large language model ✅
11 How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning 提出新假设以解释大语言模型的上下文学习机制 large language model
12 Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach 提出基于大型语言模型的心理评估方法以提高隐私性与成本效益 large language model
13 LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System 提出基于大语言模型和BERT的知识问答系统以解决意图识别问题 large language model
14 UniMem: Towards a Unified View of Long-Context Large Language Models 提出UniMem框架以统一长上下文大语言模型的处理方法 large language model
15 LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models 提出个性化对话模型以提升LLM代理的一致性与语言对齐 large language model
16 Best Practices for Text Annotation with Large Language Models 提出文本注释最佳实践以解决LLM应用中的质量问题 large language model
17 CIDAR: Culturally Relevant Instruction Dataset For Arabic 提出CIDAR以解决阿拉伯文化相关指令数据集不足问题 large language model ✅
18 Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases 提出基于意图的提示校准方法以优化大语言模型的提示工程 large language model ✅
19 PanGu-$π$ Pro:Rethinking Optimization and Architecture for Tiny Language Models 提出PanGu-$π$ Pro以优化小型语言模型的架构与训练策略 large language model ✅
20 KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache 提出KIVI以解决KV缓存量化问题 large language model ✅
21 SWAG: Storytelling With Action Guidance 提出SWAG以解决自动化故事生成的参与度不足问题 large language model
22 JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching 提出JobSkape框架以解决技能匹配中的合成数据不足问题 large language model
23 English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts 提出使用英语提示改善非英语文本的情感分类 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🔗⭐
24 Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models 提出FortUne Dial以解决对话中的不确定性预测问题 reinforcement learning large language model
25 M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation 提出M3-Embedding以解决多语言、多功能和多粒度文本嵌入问题 distillation

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
26 Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification 提出社会语言学信息解释性以解决Hinglish情感分类问题 motion prediction

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