| 1 |
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning |
Robin3D:通过鲁棒指令调优提升3D大型语言模型性能 |
large language model multimodal instruction following |
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| 2 |
Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models |
提出基于边缘设备LLM的驾驶行为叙述与推理框架,提升响应速度与性能 |
large language model |
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| 3 |
Law of the Weakest Link: Cross Capabilities of Large Language Models |
CrossEval:揭示大语言模型跨能力短板,推动复杂场景性能优化 |
large language model |
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| 4 |
A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment |
提出一种知识驱动的大语言模型框架,用于美国核电站停堆初始事件分类。 |
large language model |
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| 5 |
GUNDAM: Aligning Large Language Models with Graph Understanding |
GUNDAM:通过图理解对齐大型语言模型,提升图结构数据推理能力 |
large language model |
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| 6 |
What is the Role of Large Language Models in the Evolution of Astronomy Research? |
探索大型语言模型在天文学研究中的作用与潜力 |
large language model |
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| 7 |
Mitigating Propensity Bias of Large Language Models for Recommender Systems |
提出CLLMR框架,缓解大语言模型推荐系统中的倾向性偏差和维度坍塌问题 |
large language model |
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| 8 |
Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models |
提出基于知识图谱的框架,利用大语言模型构建定制化领域知识,提升网络物理系统规划。 |
large language model |
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| 9 |
On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability |
评估OpenAI o1模型在规划任务中的可行性、最优性和泛化能力 |
large language model |
✅ |
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| 10 |
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach |
提出可配置Transformer的日志异常检测方法,探究不同信息对异常检测的贡献。 |
TAMP |
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| 11 |
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface |
提出交互式推测规划,通过系统与用户界面协同设计提升Agent效率 |
large language model |
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| 12 |
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation |
针对代码生成中LLM幻觉问题,提出RAG方法并在仓库级场景验证有效性 |
large language model |
✅ |
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| 13 |
Resource Allocation for Stable LLM Training in Mobile Edge Computing |
提出基于移动边缘计算的LLM稳定训练资源分配方案,优化能耗与延迟。 |
large language model |
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| 14 |
Semantic Alignment-Enhanced Code Translation via an LLM-Based Multi-Agent System |
提出TRANSAGENT,利用多Agent协同和语义对齐提升LLM代码翻译质量 |
large language model |
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