| 1 |
Multi-Conditional Ranking with Large Language Models |
提出MCRank以解决多条件排序问题 |
large language model chain-of-thought |
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| 2 |
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange |
探讨大型语言模型在数学问题解答中的局限性 |
large language model |
✅ |
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| 3 |
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause |
提出UniMEEC以解决多模态情感识别与情感原因提取问题 |
multimodal |
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| 4 |
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks |
提出Meerkat以解决小型语言模型在医学推理中的不足 |
large language model instruction following chain-of-thought |
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| 5 |
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation |
提出基于摘要的对话数据增强方法以解决低资源对话生成问题 |
large language model |
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| 6 |
Enhancing Content-based Recommendation via Large Language Model |
提出LoID以解决内容推荐中的语义知识转移问题 |
large language model |
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| 7 |
A Survey of using Large Language Models for Generating Infrastructure as Code |
探讨大型语言模型在基础设施即代码生成中的应用 |
large language model |
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| 8 |
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning |
通过监督微调注入新知识以提升大型语言模型的表现 |
large language model |
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| 9 |
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World |
提出块世界环境以评估语言模型的协作能力 |
large language model chain-of-thought |
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| 10 |
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 |
提出PEFT方法提升临床试验报告的自然语言推理性能 |
large language model chain-of-thought |
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| 11 |
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP |
提出CoDa以解决低资源NLP数据增强问题 |
large language model instruction following |
✅ |
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| 12 |
Prompt-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression |
提出Prompt-SAW以解决长文本提示压缩问题 |
large language model |
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| 13 |
Planning and Editing What You Retrieve for Enhanced Tool Learning |
提出PLUTO方法以解决工具检索效率低下问题 |
large language model |
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| 14 |
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code |
提出Aurora-M以解决多语言模型的可持续预训练问题 |
large language model |
✅ |
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| 15 |
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation |
提出混合注释方法以解决NER数据集标注成本高的问题 |
large language model |
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| 16 |
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference |
提出DeFT以解决树结构LLM推理中的效率问题 |
large language model |
✅ |
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| 17 |
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness |
探讨事实增强对大型语言模型上下文忠实性的影响 |
large language model |
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| 18 |
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning |
提出NumeroLogic以解决语言模型的数字推理问题 |
chain-of-thought |
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| 19 |
Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits |
探讨大型语言模型对个人特征语言标记的影响 |
large language model |
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| 20 |
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs |
提出EventGround以解决叙事推理中的知识图谱对接问题 |
large language model |
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| 21 |
Conceptual and Unbiased Reasoning in Language Models |
提出概念化框架以提升语言模型的概念推理能力 |
large language model |
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