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1. Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification

2. {\Omega}SFormer: Dual-Modal {\Omega}-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. RedPajama: an Open Dataset for Training Large Language Models

5. Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

6. OAM-TCD: A globally diverse dataset of high-resolution tree cover maps

7. Mitigating Catastrophic Forgetting in Language Transfer via Model Merging

8. Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving

9. Mixture-of-Agents Enhances Large Language Model Capabilities

10. MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

11. PIM-Opt: Demystifying Distributed Optimization Algorithms on a Real-World Processing-In-Memory System

17. Mechanistic Design and Scaling of Hybrid Architectures

18. TablePuppet: A Generic Framework for Relational Federated Learning

19. Enhancing Vision-Language Few-Shot Adaptation with Negative Learning

20. HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

21. Test-time Distribution Learning Adapter for Cross-modal Visual Reasoning

22. Electrokinetic origin of swirling flow on nanoscale interface

24. A Simple LLM Framework for Long-Range Video Question-Answering

25. WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data

26. DMLR: Data-centric Machine Learning Research -- Past, Present and Future

27. Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation

28. Object-centric Video Representation for Long-term Action Anticipation

29. Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

30. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

31. Effective and Efficient Federated Tree Learning on Hybrid Data

32. Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models

33. DSG: An End-to-End Document Structure Generator

38. Towards General and Efficient Online Tuning for Spark

39. BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning

40. BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

41. Unsupervised Prototype Adapter for Vision-Language Models

42. AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

43. Cross-Modal Concept Learning and Inference for Vision-Language Models

44. Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

45. Goal-Conditioned Predictive Coding for Offline Reinforcement Learning

46. Improving Retrieval-Augmented Large Language Models via Data Importance Learning

50. MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion

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