185 results on '"Ce, Zhang"'
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2. ΩSFormer: Dual-Modal Ω-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction.
3. CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs.
4. BgGPT 1.0: Extending English-centric LLMs to other languages.
5. Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification.
6. Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models.
7. Semantic-Enhanced Indirect Call Analysis with Large Language Models.
8. Mitigating Catastrophic Forgetting in Language Transfer via Model Merging.
9. OAM-TCD: A globally diverse dataset of high-resolution tree cover maps.
10. Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space.
11. Test-time Distribution Learning Adapter for Cross-modal Visual Reasoning.
12. FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm.
13. HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation.
14. Mixture-of-Agents Enhances Large Language Model Capabilities.
15. Analysis of Distributed Optimization Algorithms on a Real Processing-In-Memory System.
16. Mechanistic Design and Scaling of Hybrid Architectures.
17. TablePuppet: A Generic Framework for Relational Federated Learning.
18. Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models.
19. Concept-Guided Prompt Learning for Generalization in Vision-Language Models.
20. Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving.
21. MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
22. Unsupervised Prototype Adapter for Vision-Language Models.
23. Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation.
24. DMLR: Data-centric Machine Learning Research - Past, Present and Future.
25. Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation.
26. DSG: An End-to-End Document Structure Generator.
27. A Simple LLM Framework for Long-Range Video Question-Answering.
28. Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation.
29. WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.
30. In-Context Few-Shot Relation Extraction via Pre-Trained Language Models.
31. BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks.
32. Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems.
33. Cross-Modal Concept Learning and Inference for Vision-Language Models.
34. Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models.
35. Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning.
36. Towards General and Efficient Online Tuning for Spark.
37. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time.
38. High-throughput Generative Inference of Large Language Models with a Single GPU.
39. Hierarchical Classification of Research Fields in the 'Web of Science' Using Deep Learning.
40. SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving.
41. Object-centric Video Representation for Long-term Action Anticipation.
42. Improving Retrieval-Augmented Large Language Models via Data Importance Learning.
43. COLE: A Column-based Learned Storage for Blockchain Systems.
44. MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion.
45. OpenBox: A Python Toolkit for Generalized Black-box Optimization.
46. AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
47. Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions.
48. Effective and Efficient Federated Tree Learning on Hybrid Data.
49. BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning.
50. Contrastive Learning for Unsupervised Domain Adaptation of Time Series.
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