| 1 |
Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics |
提出MGR-LF++框架,通过对比模态对齐和特殊token,提升多模态生成推荐性能。 |
multimodal |
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| 2 |
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation |
提出结合反驳、解释和目标感知的提示工程,提升大语言模型在逻辑谬误识别上的推理能力。 |
large language model |
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| 3 |
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models |
综述WebAgent:基于大型模型的新一代Web自动化AI Agent |
foundation model |
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| 4 |
Scaling Auditory Cognition via Test-Time Compute in Audio Language Models |
提出测试时计算方法,提升音频大语言模型在听觉认知任务中的性能 |
large language model multimodal |
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| 5 |
POINT$^{2}$: A Polymer Informatics Training and Testing Database |
提出POINT$^{2}$:一个用于聚合物信息学训练和测试的综合数据库与基准协议。 |
large language model |
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| 6 |
Codehacks: A Dataset of Adversarial Tests for Competitive Programming Problems Obtained from Codeforces |
Codehacks:一个来自Codeforces的对抗性测试数据集,用于评估竞争性编程问题 |
large language model |
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| 7 |
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection |
探索语义保持变换作为变异算子在缺陷检测中的有效性 |
large language model |
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| 8 |
AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design |
提出基于AI Agent的汽车设计框架,加速美学和空气动力学设计流程 |
large language model |
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| 9 |
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science |
SPIO:基于LLM多智能体规划的集成与选择策略,用于自动化数据科学 |
large language model |
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| 10 |
MiZero: The Shadowy Defender Against Text Style Infringements |
MiZero:针对文本风格侵权的隐式水印防御方案 |
large language model |
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| 11 |
A Scalable Framework for Evaluating Health Language Models |
提出自适应精确布尔准则,用于高效评估健康语言模型 |
large language model |
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| 12 |
A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection |
提出MARO框架,通过多智能体协作与决策规则优化,提升跨领域虚假信息检测性能。 |
large language model |
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