| 1 |
Secure Speculative Decoding for Large Language Models |
提出SecureSD以解决大语言模型推理安全性问题 |
large language model |
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| 2 |
The Standardization Trap: Certifying Joint Label Processing in Tabular Foundation Models |
提出联合标签处理的认证方法以解决标准化陷阱问题 |
foundation model |
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| 3 |
zkLLMPoT: Efficient Zero Knowledge Proof of Training for Large Language Models |
提出zkLLMPoT以高效证明大语言模型训练过程的零知识证明 |
large language model |
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| 4 |
Quantum Entangled Multimodal Fusion Networks (QEMFN): Resource-Aware Hybrid Vision-Language Fusion via Trainable Entanglement |
提出量子纠缠多模态融合网络以提升视觉-语言融合效果 |
multimodal |
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| 5 |
DSV-Mem: Evaluating Multimodal Memory in Professional Workflows for MLLM Agents |
提出DSV-Mem以解决专业工作流程中多模态记忆评估问题 |
multimodal |
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| 6 |
Illusory Pattern Perception Drives Spurious Inference in Large Language Models |
研究大型语言模型中的虚幻模式感知以解决推理错误问题 |
large language model |
✅ |
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| 7 |
Massive Activation Gating Channel in Large Language Models |
提出MAGC以揭示大语言模型中的大规模激活机制 |
large language model |
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| 8 |
ChartBmkAgent: Harness-Governed Multi-Agent Construction of Chart QA Benchmarks from Sparse Error-Taxonomy Specifications |
提出ChartBmkAgent以解决Chart QA基准构建效率低下问题 |
large language model multimodal |
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| 9 |
CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling |
提出CoDe-LoRA以解决大语言模型的正交困境问题 |
large language model |
✅ |
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| 10 |
DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching |
提出DySCo以解决边缘云协作LLM推理中的动态分片问题 |
large language model |
✅ |
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| 11 |
LeanPlan: Optimal Planning with LLM-Generated Heuristics and Admissibility Proofs |
提出LeanPlan以解决LLM生成启发式函数的最优规划问题 |
large language model |
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| 12 |
Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models |
提出探索-再承诺协议以提高科学定律发现的测量效率 |
large language model |
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| 13 |
WorldSolver: Can LLM Agents Simulate the Physical Dynamics via Solver Generation? |
提出WorldSolver以解决物理动态模拟问题 |
embodied AI |
✅ |
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| 14 |
ScienceClaw: Benchmarking Continual Self-Evolution of AI-for-Science Agents Across the Natural and Social Sciences |
提出ScienceClaw以解决AI科学代理的自我进化问题 |
large language model |
✅ |
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| 15 |
MINDSET: Energy-based Schema Evolution for Long Conversational Agent Memory |
提出MINDSET以解决长对话代理记忆演变问题 |
large language model |
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| 16 |
Adaptive Power Sampling for LLM Reasoning |
提出自适应功率采样以提升大语言模型推理能力 |
large language model |
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| 17 |
Learning from Failures: A Failure-Driven Prompt Refinement for LLM-Based Vulnerability Analysis |
提出基于失败驱动的提示优化方法以提升LLM漏洞分析效果 |
large language model |
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| 18 |
MoF: Preference-Aware Mixture Modeling for Black-Box LLM Personalization |
提出MoF框架以解决黑箱LLM个性化问题 |
large language model |
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| 19 |
MASC: A Multi-Agent Self-Calibration Framework with Latent Construct Alignment for Consistent Client Role-Playing in Psychological Counseling |
提出MASC框架以解决心理咨询中客户角色扮演一致性问题 |
large language model |
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| 20 |
OSFP4: Joint Optimization of Diagonal Smoothing and Block Scales for NVFP4 Quantization |
提出OSFP4以优化NVFP4量化精度问题 |
large language model |
✅ |
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| 21 |
Token-Efficient Multi-Agent Collaboration via System One-Guided Computational Division of Labor |
提出S1-MAS以解决多代理系统中的协调效率问题 |
large language model |
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| 22 |
RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow Generation |
提出RA-MoWE框架以解决查询聚类与工作流生成问题 |
large language model |
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| 23 |
ThinkFuse: Trajectory-Aware Test-Time Fusion for Small Reasoning Models |
提出ThinkFuse以解决小推理模型的不稳定推理问题 |
chain-of-thought |
✅ |
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| 24 |
LOGIC: An LLM Benchmark for Intent-Grounded Change Impact in Aerospace Electrical Systems |
提出LOGIC基准以解决航空电气系统变更影响评估问题 |
large language model |
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