193 results on '"Xing Xie"'
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2. Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment.
3. Measuring Human Contribution in AI-Assisted Content Generation.
4. CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses.
5. On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models.
6. High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs.
7. GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability.
8. TrustLLM: Trustworthiness in Large Language Models.
9. Aligning Large Language Models for Controllable Recommendations.
10. Learning with Noisy Foundation Models.
11. DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.
12. CulturePark: Boosting Cross-cultural Understanding in Large Language Models.
13. Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.
14. Aligning Language Models for Versatile Text-based Item Retrieval.
15. RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.
16. KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
17. A General Framework for Learning from Weak Supervision.
18. Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization.
19. CultureLLM: Incorporating Cultural Differences into Large Language Models.
20. On Catastrophic Inheritance of Large Foundation Models.
21. ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
22. Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
23. SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
24. Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing.
25. Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector.
26. MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
27. ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph.
28. Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence.
29. Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches.
30. DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization.
31. FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
32. On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
33. Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.
34. Can Transformer and GNN Help Each Other?
35. PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
36. Distillation from Heterogeneous Models for Top-K Recommendation.
37. MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
38. SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
39. CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.
40. EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.
41. From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.
42. Control Risk for Potential Misuse of Artificial Intelligence in Science.
43. Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
44. Exploring Vision-Language Models for Imbalanced Learning.
45. Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
46. Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning.
47. Evaluating General-Purpose AI with Psychometrics.
48. Unpacking the Ethical Value Alignment in Big Models.
49. Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
50. Continual Learning on Dynamic Graphs via Parameter Isolation.
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