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Xuezhi Wang

Identifiers

  • name variant Xuezhi Wang 0.60 · backfill

Papers (62)

  1. From Snapshots to Trajectories: Learning Single-Cell Gene Expression Dynamics via Conditional Flow Matching cs.LG · 2026 · author #10
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #287
  3. MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research eess.AS · 2024 · author #3
  4. A Minimalist Prompt for Zero-Shot Policy Learning cs.LG · 2024 · author #2
  5. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context cs.CL · 2024 · author #1066
  6. Dual-polarization huge photonic spin Hall shift and deep-subwavelength sensing based on topological singularities in one-dimensional photonic crystals physics.optics · 2024 · author #8
  7. Chain-of-Thought Reasoning Without Prompting cs.CL · 2024 · author #1
  8. Transformers Can Achieve Length Generalization But Not Robustly cs.LG · 2024 · author #4
  9. Premise Order Matters in Reasoning with Large Language Models cs.AI · 2024 · author #3
  10. Gemini: A Family of Highly Capable Multimodal Models cs.CL · 2023 · author #808
  11. Universal Self-Consistency for Large Language Model Generation cs.CL · 2023 · author #9
  12. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation cs.CL · 2023 · author #3
  13. Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter eess.AS · 2023 · author #3
  14. Large Language Models as Optimizers cs.LG · 2023 · author #2
  15. Estimation of the number of single-photon emitters for multiple fluorophores with the same spectral signature quant-ph · 2023 · author #5
  16. Grammar Prompting for Domain-Specific Language Generation with Large Language Models cs.CL · 2023 · author #3
  17. Large Language Models as Tool Makers cs.LG · 2023 · author #2
  18. Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals cs.CL · 2023 · author #2
  19. PaLM 2 Technical Report cs.CL · 2023 · author #111
  20. Towards Robust Prompts on Vision-Language Models cs.CV · 2023 · author #3
  21. A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures cs.HC · 2023 · author #4
  22. What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel cs.LG · 2023 · author #2
  23. Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints cs.CL · 2023 · author #4
  24. Quantum diamond magnetometry for navigation in GNSS denied environments math.OC · 2023 · author #1
  25. TEMPERA: Test-Time Prompting via Reinforcement Learning cs.CL · 2022 · author #2
  26. Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers cs.CL · 2022 · author #2
  27. Large Language Models Can Self-Improve cs.CL · 2022 · author #5
  28. Scaling Instruction-Finetuned Language Models cs.LG · 2022 · author #8
  29. Language Models are Multilingual Chain-of-Thought Reasoners cs.CL · 2022 · author #4
  30. Recitation-Augmented Language Models cs.CL · 2022 · author #2
  31. Rationale-Augmented Ensembles in Language Models cs.CL · 2022 · author #1
  32. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models cs.AI · 2022 · author #6
  33. UL2: Unifying Language Learning Paradigms cs.CL · 2022 · author #6
  34. Gravity aided navigation using Viterbi map matching algorithm cs.RO · 2022 · author #3
  35. PaLM: Scaling Language Modeling with Pathways cs.CL · 2022 · author #57
  36. Probabilistic Map Matching for Robust Inertial Navigation Aiding cs.RO · 2022 · author #1
  37. Self-Consistency Improves Chain of Thought Reasoning in Language Models cs.CL · 2022 · author #1
  38. Continual Sequence Generation with Adaptive Compositional Modules cs.CL · 2022 · author #2
  39. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cs.CL · 2022 · author #2
  40. Measure and Improve Robustness in NLP Models: A Survey cs.CL · 2021 · author #1
  41. Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation cs.LG · 2021 · author #6
  42. Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models cs.CL · 2021 · author #4
  43. Nucleon momentum distribution of $^{56}\text{Fe}$ from the axially deformed relativistic mean-field model with nucleon--nucleon correlations nucl-th · 2021 · author #1
  44. Extraction of the second and fourth radial moments of nuclear charge density from the elastic electron-nucleus scattering nucl-th · 2021 · author #3
  45. Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning cs.LG · 2021 · author #2
  46. Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective cs.LG · 2021 · author #7
  47. TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution eess.IV · 2021 · author #8
  48. Continual Learning for Text Classification with Information Disentanglement Based Regularization cs.CL · 2021 · author #4
  49. Enhancing Inertial Navigation Performance via Fusion of Classical and Quantum Accelerometers quant-ph · 2021 · author #1
  50. Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information cs.LG · 2021 · author #5
  51. Measuring Recommender System Effects with Simulated Users cs.LG · 2021 · author #4
  52. Underspecification Presents Challenges for Credibility in Modern Machine Learning cs.LG · 2020 · author #35
  53. Measuring and Reducing Gendered Correlations in Pre-trained Models cs.CL · 2020 · author #2
  54. CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation cs.CL · 2020 · author #2
  55. Improving Calibration through the Relationship with Adversarial Robustness cs.LG · 2020 · author #2
  56. Fairness without Demographics through Adversarially Reweighted Learning cs.LG · 2020 · author #7
  57. ToTTo: A Controlled Table-To-Text Generation Dataset cs.CL · 2020 · author #2
  58. Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems cs.LG · 2019 · author #1
  59. Transfer of Machine Learning Fairness across Domains cs.LG · 2019 · author #2
  60. Verifying Text Summaries of Relational Data Sets cs.DB · 2018 · author #5
  61. Maximum Likelihood Estimation for Single Linkage Hierarchical Clustering stat.ML · 2015 · author #3
  62. Statistical Properties of the Single Linkage Hierarchical Clustering Estimator stat.ML · 2015 · author #3

Mentions

  • 2406.18301 #3 · arxiv_oai · confidence 0.70 Xuezhi Wang
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Frequent Coauthors