| 1 |
The Forecast Critic: Leveraging Large Language Models for Poor Forecast Identification |
提出Forecast Critic,利用大语言模型识别不合理的预测结果,提升零售业务效率。 |
large language model |
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| 2 |
Log Anomaly Detection with Large Language Models via Knowledge-Enriched Fusion |
EnrichLog:利用知识增强融合的大语言模型进行日志异常检测 |
large language model |
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| 3 |
AI-MASLD Metabolic Dysfunction and Information Steatosis of Large Language Models in Unstructured Clinical Narratives |
揭示大语言模型在非结构化临床叙述中存在的“AI-MASLD”代谢功能障碍 |
large language model |
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| 4 |
LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models |
LOOPRAG:利用检索增强的大语言模型提升循环变换优化效果 |
large language model |
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| 5 |
Semantic search for 100M+ galaxy images using AI-generated captions |
AION-Search:利用AI生成描述,实现对1.4亿张星系图像的语义搜索。 |
foundation model multimodal |
✅ |
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| 6 |
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring |
提出RCS框架,利用表征对比评分提升大型视觉语言模型的越狱攻击检测能力 |
multimodal |
✅ |
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| 7 |
Instruction-Tuning Open-Weight Language Models for BPMN Model Generation |
提出InstruBPM,通过指令微调开源大语言模型生成高质量BPMN流程模型。 |
large language model |
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| 8 |
Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously |
提出Super Suffixes攻击绕过文本生成对齐与防御模型,并提出DeltaGuard防御方法。 |
large language model |
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| 9 |
From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews |
针对LLM辅助文献综述,提出可信协作的设计目标与框架,提升研究效率。 |
large language model |
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| 10 |
AI Benchmark Democratization and Carpentry |
倡导AI基准测试民主化与基准测试构建,应对AI评估的快速演进与实际部署风险。 |
large language model |
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| 11 |
How AI Agents Follow the Herd of AI? Network Effects, History, and Machine Optimism |
研究AI智能体在网络效应博弈中的决策行为,揭示历史数据对群体决策的影响 |
large language model |
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| 12 |
EmeraldMind: A Knowledge Graph-Augmented Framework for Greenwashing Detection |
提出EmeraldMind框架,利用知识图谱增强的检索增强生成技术,用于检测企业漂绿行为。 |
large language model |
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| 13 |
Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs |
P-Trojan:一种在LLM持续微调下保持持久性的后门攻击方法 |
large language model |
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| 14 |
Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models |
提出差分隐私CodeLLM,解决代码生成模型中的隐私泄露问题。 |
large language model |
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| 15 |
General-purpose AI models can generate actionable knowledge on agroecological crop protection |
利用通用AI模型为农业生态作物保护生成可执行知识 |
large language model |
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| 16 |
AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org |
AGAPI-Agents:AtomGPT.org上用于加速材料设计的开放式Agentic AI平台 |
large language model |
✅ |
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| 17 |
FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration |
FutureWeaver:通过模块化协作规划多智能体系统的测试时计算资源 |
large language model |
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