| 1 |
TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models |
提出TRACE以解决多模态时间序列中的缺失与不对齐问题 |
foundation model multimodal |
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| 2 |
An Infectious Disease Spread Simulation Based on Large Language Model Decision Making |
基于大语言模型决策的传染病传播模拟框架 |
large language model |
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| 3 |
Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Mo |
提出分层框架以解决多模态生成模型中的知识注入问题 |
multimodal |
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| 4 |
Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models |
提出HyperLoRA以解决联邦学习中的适应性和聚合偏差问题 |
foundation model |
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| 5 |
Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting |
提出多源数据融合模型以解决超短期太阳辐射预测问题 |
multimodal |
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| 6 |
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery |
提出MLEvolve以解决机器学习算法发现中的信息孤岛问题 |
large language model |
✅ |
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| 7 |
Benchmark Everything Everywhere All at Once |
提出Benchmark Agent以解决基准测试构建的可持续性问题 |
multimodal |
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| 8 |
Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents |
提出Vortex以解决稀疏注意力算法部署效率问题 |
large language model |
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| 9 |
TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management |
提出TokenMizer以解决长时间任务中的上下文管理问题 |
large language model |
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| 10 |
LLM Self-Recognition: Steering and Retrieving Activation Signatures |
提出自我识别机制以增强大型语言模型的输出归属能力 |
large language model |
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| 11 |
ToolChoiceConfusion: Causal Minimal Tool Filtering for Reliable LLM Agents |
提出Causal Minimal Tool Filtering以解决工具选择混淆问题 |
large language model |
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| 12 |
RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention |
提出RedKnot以解决长上下文LLM服务中的KV缓存瓶颈问题 |
large language model |
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| 13 |
Towards the Readability of LLM-Generated Codes through Multitask Representation Engineering |
提出多任务表示工程以提升LLM生成代码的可读性 |
large language model |
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| 14 |
Evaluating Agentic Configuration Repair for Computer Networks |
提出基于代理配置修复的网络配置自动化方法 |
large language model |
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| 15 |
LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models |
提出LLMCodec以解决大语言模型压缩问题 |
large language model |
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| 16 |
TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search Agents |
提出TAPO以解决多模态搜索代理中的信用误分配问题 |
multimodal |
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| 17 |
HybridCodec: Fast Dual-Stream, Semantically Enhanced Neural Audio Codec |
提出HybridCodec以解决音频编码中的语义信息引入问题 |
large language model multimodal |
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| 18 |
PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation |
提出PerceptUI框架以提升UI/UX评估的效率与准确性 |
large language model multimodal |
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| 19 |
Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language Models |
提出新基准以评估视觉语言模型的时间推理能力 |
multimodal |
✅ |
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| 20 |
Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving |
提出基于评论指导的异构多智能体方法以提高数学问题求解的可靠性 |
large language model |
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| 21 |
Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit Hacking |
提出自承诺延迟以解决隐式奖励黑客问题 |
chain-of-thought |
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| 22 |
Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations |
提出基于LLM的框架以解决多垂直推荐中的冷启动问题 |
large language model |
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| 23 |
MalTree: Tracing Malware Evolution from Embeddings at Scale |
提出MalTree框架以自动化追踪恶意软件进化 |
TAMP |
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| 24 |
AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps |
提出基于AI的测试用例生成方法以解决自然语言需求的挑战 |
large language model |
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| 25 |
QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving |
提出QCFuse以解决RAG缓存融合效率问题 |
large language model |
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| 26 |
GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks |
提出GenTI以解决自动化IDPS规则生成的挑战 |
chain-of-thought |
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| 27 |
Queen-Bee Agents: A BeeSpec-Centered Architecture for Governed Enterprise MCP Orchestration |
提出Queen-Bee架构以解决企业多代理系统治理问题 |
large language model |
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| 28 |
Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation |
提出MicroSkill架构以解决AI原生代码生成中的上下文管理问题 |
large language model |
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| 29 |
Agent-Orchestrated Adaptive RAG: A Comparative Study on Structured and Multi-Hop Retrieval |
提出Agent-Orchestrated Adaptive RAG以解决复杂查询的检索问题 |
large language model |
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| 30 |
Enhancing Software Engineering Through Closed-Loop Memory Optimization |
提出闭环记忆优化框架以提升软件工程代理的性能 |
large language model |
✅ |
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| 31 |
Evaluation of LLMs for Mathematical Formalization in Lean |
评估大型语言模型在Lean中的数学形式化能力 |
large language model |
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| 32 |
Multilingual Fine-Tuning via Localized Gradient Conflict Resolution |
提出基于局部梯度冲突解决的多语言微调方法 |
large language model |
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| 33 |
The End of Software Engineering: How AI Agents Are Fundamentally Restructuring the Software Paradigm |
提出智能代理工程以重构软件工程范式 |
large language model |
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| 34 |
GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection |
提出GuardNet以解决大语言模型的Prompt Injection和Jailbreak攻击问题 |
large language model |
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