Self-Taught Self-Correction for Small Language Models
Paper
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2503.08681
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Published
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15
Self-improving LLMs
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Self-Improving Robust Preference Optimization
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LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
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Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
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Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
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Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
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Large Language Models Can Self-Improve in Long-context Reasoning
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B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
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Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
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Enabling Scalable Oversight via Self-Evolving Critic
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Symbolic Learning Enables Self-Evolving Agents
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A Survey on Self-Evolution of Large Language Models
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Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
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Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
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Learning Evolving Tools for Large Language Models
Paper • 2410.06617 • Published • 2 -
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 148