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• InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
  2023 · 11 citations
• From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
  2023 · 8 citations
• Large Language Models are Strong Zero-Shot Retriever
  2023 · 4 citations
• The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
  2023 · 2 citations
• Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
  2023 · 1 citations
• Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
  2025
• Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  2024
• OPTune: Efficient Online Preference Tuning
  2024
• RuleR: Improving LLM Controllability by Rule-based Data Recycling
  2024
• Multi-Objective Linguistic Control of Large Language Models
  2024
• One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
  2024
• BenTo: Benchmark Task Reduction with In-Context Transferability
  2024
• What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  2024