| 1 |
WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents |
提出WorldAuditBench以解决3D世界审计中的异常检测问题 |
vision-language-action VLA multimodal |
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| 2 |
CAMOS: Coupled Oscillatory State-Space Model for Multimodal Clinical Time-Series |
提出CAMOS以解决多模态临床时间序列数据缺失问题 |
multimodal zero-shot transfer |
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| 3 |
Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance |
提出拓扑信息融合方法以提升数字双胞胎中的时间序列预测性能 |
foundation model |
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| 4 |
CodeMimicry: Exploiting Safety Generalization Lag in Large Language Models via Structured Code Completion |
提出CodeMimicry以解决大型语言模型安全对齐滞后问题 |
large language model |
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| 5 |
Who Owns That? Evaluating Ownership Intuitions in Large Language Models |
提出竞争所有权归属任务以评估大型语言模型的所有权直觉 |
large language model |
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| 6 |
MASCRDM: Multi-Agent System for Compliance Risk Detection and Mitigation in Training Process of Large Language Models |
提出MASCRDM以解决大语言模型合规风险检测与缓解问题 |
large language model |
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| 7 |
Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting |
提出目标检索与紧凑表示以提升长文本计数精度 |
large language model chain-of-thought |
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| 8 |
BayesNDE: Bayesian Generative Modeling for Neural Density Estimation |
提出BayesNDE以解决神经密度估计问题 |
multimodal |
✅ |
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| 9 |
Can Computation from Earlier Problems Help LLMs Solve New Ones? |
提出STAIR以提升大语言模型在新问题上的解决能力 |
large language model |
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| 10 |
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering? |
提出简化编码代理的架构以优化自主机器学习工程 |
large language model |
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| 11 |
FIGS: Evaluating Multi-Turn Sycophancy Without Penalizing Empathy |
提出FIGS框架以解决多轮对话中的谄媚与同理心平衡问题 |
large language model |
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| 12 |
Self-Spec Verifiable Code Generation |
提出VeriCodeBench以解决LLM生成代码的可靠性问题 |
large language model |
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| 13 |
Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks |
提出Speculative Safety Honeypot以解决多轮代理攻击问题 |
large language model |
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| 14 |
Inferring Causal Relations between Two Sequences of Events with Language Models |
利用大语言模型推断事件序列间的因果关系 |
large language model |
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| 15 |
WorkGenesis: Building the Worlds That Teach Agents to Work |
提出WorkGenesis以构建可执行的职业工作场景 |
large language model |
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| 16 |
MiniRep: Robust Reputation-Based Aggregation for Multi-Agent Debate |
提出MiniRep以解决多智能体辩论中的信誉评估问题 |
large language model |
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| 17 |
ANI: Adaptive Numerical Injection for Unifying Semantic and Arithmetic Representations in Numerical Reasoning |
提出ANI以解决大语言模型中的数值推理问题 |
large language model |
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| 18 |
EngramBench: A Capability-Grounded Benchmark for Skill-Evolution Harnesses |
提出EngramBench以解决自主体技能演化评估中的识别问题 |
large language model |
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| 19 |
Faithful Dual-constrained Erasure for Robust LLM Safety Alignment |
提出FDCU框架以解决大语言模型的安全对齐问题 |
large language model |
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| 20 |
Rep2Skill: Representation-Guided Skill Self-Evolution for LLM Agents |
提出Rep2Skill以解决LLM代理技能自我演化问题 |
large language model |
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| 21 |
Whose Voice Survives the Summary? A Voice-Retention Audit of LLM Employee Listening |
提出语音保留/表现比率以解决LLM总结中的偏见问题 |
large language model |
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