| 1 |
CogArena: Benchmarking Multimodal Agents on Interactive Behavioral Experiments |
提出CogArena以评估多模态智能体在互动行为实验中的表现 |
large language model multimodal |
|
|
| 2 |
Correctness Conditioning as Selection in Chain-of-Thought Faithfulness Evaluation |
提出链式思维忠实度评估中的选择性修正方法 |
chain-of-thought |
|
|
| 3 |
Natural Hard-Negative Mining from Positives for Instruction-Following Retrieval |
提出自然困难负样本挖掘以提升指令跟随检索性能 |
instruction following |
|
|
| 4 |
Who Knows What - and What Does It Support? Perspective-Bounded Evidence Calibration for Multimodal Theory of Mind |
提出PIP-ToM以解决多模态心智理论中的证据可接受性问题 |
multimodal |
|
|
| 5 |
ADTGuard: Adaptive Depth-Time Safeguard for Streaming Inference in Large Language Models |
提出ADTGuard以解决大语言模型流媒体推理中的安全问题 |
large language model |
|
|
| 6 |
LM-DSB: A Lightweight Multi-agent System for Automated Daily Safety Bulletin Generation in Construction |
提出LM-DSB系统以自动生成建筑工地日常安全公报 |
large language model multimodal |
|
|
| 7 |
Learning Where to Trust: Reliability-Guided Expert Routing and Velocity Gating for 3D Deformable Registration |
提出ReliMorph以解决3D变形配准中的可靠性问题 |
multimodal |
|
|
| 8 |
AnalogScout: Simulation-Efficient PVT-Aware Analog Sizing with LLM Agents |
提出AnalogScout以解决模拟器件PVT敏感性优化问题 |
large language model |
|
|
| 9 |
Blindfold: Keeping the Audit Coin Secret from LLM Agents |
提出Blindfold以解决LLM代理审计隐私问题 |
TAMP |
|
|
| 10 |
God Does Not Play Dice: Enforcing Batch Invariance in Agentic Kernel Generation |
提出 ool以解决GPU内核生成中的批次不变性问题 |
large language model |
|
|
| 11 |
Timestral |
提出Timestral以解决时间序列预测问题 |
foundation model |
|
|
| 12 |
Concordat: Typed Sessions for LLM Agents |
提出Concordat以解决大型语言模型代理的协议执行问题 |
large language model |
|
|
| 13 |
FeatureArc: Benchmarking Coding Agents on Evolving Features |
提出FeatureArc以评估编码代理在特征演变中的表现 |
large language model |
|
|
| 14 |
Beyond the Readout: A Latent Numerical Frame Shared Across Modality and Operation |
提出跨模态共享潜在数字框架以解决数字理解问题 |
multimodal |
|
|
| 15 |
Clearing the FoG: Training KG Agents to Retrieve the Evidence Behind Their Answers |
提出FoG框架以解决KG代理缺乏证据支持的问题 |
large language model |
|
|
| 16 |
Uncovering Why LLMs Fail: From Internal Mechanisms to Adversarial Reasoning Trajectories |
提出CauTrace框架以揭示大型语言模型失败的根本原因 |
large language model |
|
|
| 17 |
ReForest: Interpretability Meets Reasoning in Isolation Forest |
提出ReForest以解决孤立森林模型的语义理解问题 |
large language model |
|
|
| 18 |
Grounding LLM Agents in Business Processes: Process-Aware Knowledge Graphs for Reliable Multi-Step Service Invocation |
提出基于过程感知知识图的LLM代理以解决API调用可靠性问题 |
large language model |
|
|
| 19 |
Rènyi-Regularized Flow-Based Variational Inference for Bayesian Calibration |
提出Rényi正则化流基变分推断以解决贝叶斯校准中的多模态问题 |
multimodal |
|
|
| 20 |
AutoVend: Benchmarking LLM Agents on Long-Horizon Autonomous Vending Operations |
提出AutoVend基准以评估LLM代理在长期自动售货操作中的表现 |
large language model |
|
|
| 21 |
When the Critic Falls Behind: Co-Evolving Rubrics and Harnesses for Continual Agent Self-Improvement |
提出RuHarness框架以解决自主体自我改进中的评估滞后问题 |
large language model |
|
|
| 22 |
Dependency Graphs of Mathematical Arguments: Representation, Structural Measurement, and Proof Review |
提出基于依赖图的数学论证表示与测量框架 |
large language model |
|
|
| 23 |
Can LLMs Reliably Grade Olympiad Proofs? A Study of Mathematical Verification with LLMs |
提出MABGrader以提升奥林匹克数学证明的验证准确性 |
large language model |
✅ |
|
| 24 |
Learning to Formalize: Bridging Open-Ended Workloads and Fast Decision Models |
提出小候选形式化器以解决开放式工作负载与快速决策模型之间的接口问题 |
large language model |
|
|
| 25 |
Benchmarking LLM Agents for Behaviorally Adequate Test Generation from Software Requirements |
提出Req2Test-Bench以解决软件需求测试生成的行为适应性问题 |
large language model |
|
|