| 1 |
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking |
提出RAMA框架,利用检索增强和多智能体协同解决多模态事实核查中的信息误导问题。 |
large language model multimodal |
✅ |
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| 2 |
Emergence of Hierarchical Emotion Organization in Large Language Models |
研究发现大型语言模型涌现出层级化的情感组织能力,并揭示了社会经济偏见。 |
large language model |
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| 3 |
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models |
提出基于神经元剪枝的微调方法,提升大型语言模型泛化能力 |
large language model |
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| 4 |
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models |
DATE-LM:用于评估大型语言模型数据归因方法的统一基准 |
large language model |
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| 5 |
Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training |
通过数据构建与持续预训练,提升大型语言模型在藏语上的表现 |
large language model |
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| 6 |
DS@GT at Touché: Large Language Models for Retrieval-Augmented Debate |
利用大型语言模型进行检索增强辩论及辩论评估研究 |
large language model |
✅ |
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| 7 |
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards |
CompassJudger-2:通过可验证奖励迈向通用判别模型 |
large language model |
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