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Yang Yang
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- DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
- ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs
- Multimodal Classification via Total Correlation Maximization
- On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs
- Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
- Brain4FMs: A Benchmark of Foundation Models for Electrical Brain Signal
- WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraints
- Learning Molecular Chirality via Chiral Determinant Kernels
- LatentMem: Customizing Latent Memory for Multi-Agent Systems
- FNF: Functional Network Fingerprint for Large Language Models
- LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
- ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting
- Toward expert-level motivational interviewing for health behavior improvement with LLMs
- ADHint: Adaptive Hints with Difficulty Priors for Reinforcement Learning
- Calibrating Uncertainty for Zero-Shot Adversarial CLIP
- Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
- AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
- Fine-Grained Representation for Lane Topology Reasoning
- Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems
- NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
- LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation
- Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
- PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
- GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents
- Efficient Autoregressive Inference for Transformer Probabilistic Models