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ER-JEPA: Experience Replay Improves Joint-Embedding Predictive Learning in Language Models
Large language models (LLMs) excel at token-level generation but may learn undesirable abstract semantics and lack comprehensive perception. LLM-JEPA mitigates this by aligning different views of the same underlying knowledge via a joint-embedding predictive architecture (JEPA). However, strong alig
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