| 1 |
Evaluating Search Engines and Large Language Models for Answering Health Questions |
评估搜索引擎与大型语言模型在健康问题解答中的表现，并探索RAG的增强效果。 |
large language model |
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| 2 |
In-Depth Analysis of Emotion Recognition through Knowledge-Based Large Language Models |
提出结合知识库大语言模型的贝叶斯线索整合方法，提升社交情境下的情绪识别。 |
large language model |
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| 3 |
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation |
提出GUME模型，通过图增强和用户模态增强解决长尾多模态推荐问题 |
multimodal |
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| 4 |
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition |
提出多粒度查询引导的集合预测网络MQSPN，解决GMNER中实体歧义和暴露偏差问题。 |
multimodal |
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| 5 |
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality |
提出稀疏水印方法，在保证文本质量的同时提高LLM水印的检测能力 |
large language model |
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| 6 |
StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions |
StuGPTViz：一种可视化分析方法，用于理解学生与ChatGPT的交互 |
large language model |
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| 7 |
LLM Inference Serving: Survey of Recent Advances and Opportunities |
综述LLM推理服务系统优化，提升性能与效率，聚焦2023年以来进展。 |
large language model |
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| 8 |
SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions |
SENTAUR：利用大语言模型增强硬件木马评估，应对不良修订 |
large language model |
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