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• Bayesian Nonparametric Federated Learning of Neural Networks
  2019 · 147 citations
• IBM Federated Learning: an Enterprise Framework White Paper V0.1
  2020 · 112 citations
• Federated Learning with Matched Averaging
  2020 · 102 citations
• Rewiring with Positional Encodings for Graph Neural Networks
  2022 · 12 citations
• Large Language Model Routing with Benchmark Datasets
  2023 · 8 citations
• Model Fusion with Kullback--Leibler Divergence
  2020 · 2 citations
• tinyBenchmarks: evaluating LLMs with fewer examples
  2024 · 2 citations
• From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning
  2026
• Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
  2026
• Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
  2025
• Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
  2025
• Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
  2025
• Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding
  2025
• Aligners: Decoupling LLMs and Alignment
  2024
• Prompt Exploration with Prompt Regression
  2024