Safer-Instruct: Aligning Language Models with Automated Preference Data
Paper
• 2311.08685 • Published
• 1
Papers from LIME Lab
Papers from LIME Lab
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CLIMB: A Benchmark of Clinical Bias in Large Language Models
Paper • 2407.05250 • Published • 2 -
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
Paper • 2502.14296 • Published • 45 -
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
Paper • 2408.15549 • Published • 2 -
Detecting and Filtering Unsafe Training Data via Data Attribution
Paper • 2502.11411 • Published • 1 -
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Paper • 2503.23361 • Published • 5 -
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Paper • 2504.05520 • Published • 11 -
The Hallucination Tax of Reinforcement Finetuning
Paper • 2505.13988 • Published • 8 -
Experiential Reinforcement Learning
Paper • 2602.13949 • Published • 70