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1,224 results on '"Ding Liang"'

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1. Calibration and Validation of NOAA-21 Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper Sensor Data Record Data

2. A low power circuit design of BLE baseband transmission data processing module

3. Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs

4. Self-Evolution Knowledge Distillation for LLM-based Machine Translation

5. DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs

6. CogSteer: Cognition-Inspired Selective Layer Intervention for Efficient Semantic Steering in Large Language Models

7. Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL

8. Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models

9. Self-Powered LLM Modality Expansion for Large Speech-Text Models

10. End-to-End Graph Flattening Method for Large Language Models

11. MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators

12. Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models

13. $\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding

14. Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models

15. Aligning Large Language Models from Self-Reference AI Feedback with one General Principle

16. Uncertainty Aware Learning for Language Model Alignment

17. Revisiting Catastrophic Forgetting in Large Language Model Tuning

18. Demystifying the Compression of Mixture-of-Experts Through a Unified Framework

19. Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning

23. New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets

24. 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset

25. Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems

26. Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

27. Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning

28. Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression

29. Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction

30. Towards Training A Chinese Large Language Model for Anesthesiology

31. Towards Alleviating Text-to-Image Retrieval Hallucination for CLIP in Zero-shot Learning

32. Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation

33. Revisiting Knowledge Distillation for Autoregressive Language Models

34. ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding

35. DB-LLM: Accurate Dual-Binarization for Efficient LLMs

36. InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling

37. A General Theory for Kernel Packets: from state space model to compactly supported basis

39. Revisiting Demonstration Selection Strategies in In-Context Learning

40. WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge

41. OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models

42. Intention Analysis Makes LLMs A Good Jailbreak Defender

43. POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation

44. Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion

45. Exploring Sparsity in Graph Transformers

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