| 1 |
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models |
提出分而治之提示策略以提升大语言模型性能 |
large language model foundation model chain-of-thought |
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| 2 |
An Interactive Agent Foundation Model |
提出交互式代理基础模型以解决多任务学习挑战 |
foundation model multimodal |
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| 3 |
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses |
提出多源多模态数据融合方法以预测大学生学业表现 |
multimodal |
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| 4 |
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning |
提出mHyER以解决个性化语言学习中的零-shot练习检索问题 |
large language model |
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| 5 |
Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models |
提出一种新方法以探索创新问题与解决方案领域 |
large language model |
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| 6 |
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models |
提出OpenToM以解决现有N-ToM基准不足问题 |
large language model |
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| 7 |
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates |
提出CACP框架以评估大型代码模型对编程概念的理解 |
large language model |
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| 8 |
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning |
提出一种结合自然语言与概率推理的实验规则推断模型 |
large language model |
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| 9 |
LLMs Among Us: Generative AI Participating in Digital Discourse |
提出LLMs参与数字话语以解决社交媒体中的偏见与隐私问题 |
large language model |
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| 10 |
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks |
评估LLM在软件开发任务中的支持能力 |
large language model |
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| 11 |
The Impact of AI Tool on Engineering at ANZ Bank An Empirical Study on GitHub Copilot within Corporate Environment |
研究GitHub Copilot在ANZ银行软件工程中的应用效果 |
large language model |
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| 12 |
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia |
提出RIPPLE以解决LLMs安全性问题 |
large language model |
✅ |
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| 13 |
A Survey on Safe Multi-Modal Learning System |
提出多模态学习系统安全性分类法以解决安全保障问题 |
multimodal |
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