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cs.LG2026
Predicting and Repairing Merge Collapse in Large Language Models
Jungseob Lee, Seungyoon Lee, Sugyeong Eo +3
Large language models fine-tuned from a shared base can be merged by averaging their task vectors, but some merges collapse far below the base model, and common merge operators giv…
cs.LG2026
Risk-Controlled Selective LLM Answering by Pricing Label-Free Checks
Dongyub Jude Lee, Jungseob Lee, Chanjun Park +2
Serving an answer from a large language model requires deciding when to abstain, yet a verifier's ranking accuracy alone does not determine the error rate among served answers. We…