| 1 |
Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention |
提出CachedAttention以解决多轮对话中的高成本问题 |
large language model |
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| 2 |
Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training |
提出独特标识符以解决大语言模型训练中的版权问题 |
large language model |
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| 3 |
FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models |
提出FEEL框架以评估大语言模型的情感支持能力 |
large language model |
✅ |
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| 4 |
AI for Biomedicine in the Era of Large Language Models |
探讨大语言模型在生物医学中的应用潜力 |
large language model |
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| 5 |
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning |
提出DIIT框架以解决动机访谈中的对话策略学习问题 |
large language model instruction following |
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| 6 |
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection |
提出EDDA框架以解决零样本态度检测中的数据增强问题 |
large language model chain-of-thought |
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| 7 |
LlamBERT: Large-scale low-cost data annotation in NLP |
提出LlamBERT以降低NLP数据标注成本 |
large language model |
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| 8 |
Towards a RAG-based Summarization Agent for the Electron-Ion Collider |
提出基于RAG的摘要代理以解决电子离子对撞机信息获取难题 |
large language model |
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| 9 |
Computational Sentence-level Metrics Predicting Human Sentence Comprehension |
提出多语言句子级度量以预测人类句子理解能力 |
large language model |
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