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arXiv:2506.14562v3 Announce Type: replace Abstract: Weight decay is a standard regularization technique for training large language models (LLMs). While it...
arXiv:2502.18018v2 Announce Type: replace Abstract: The use of LLMs as automated judges (“LLM-as-a-judge”) is now widespread, yet standard judges suffer...
arXiv:2511.03542v1 Announce Type: new Abstract: Medical question answering systems face deployment challenges including hallucinations, bias, computational demands, privacy concerns, and...
arXiv:2511.02089v1 Announce Type: cross Abstract: Contrast-Consistent Search (CCS) is an unsupervised probing method able to test whether large language models...
arXiv:2511.02755v1 Announce Type: new Abstract: Large language models (LLMs) exhibit complementary strengths across domains and come with varying inference costs,...
arXiv:2511.02280v1 Announce Type: cross Abstract: We introduce SAIL-RL, a reinforcement learning (RL) post-training framework that enhances the reasoning capabilities of...
arXiv:2502.11150v4 Announce Type: replace Abstract: Methods for scoring text readability have been studied for over a century, and are widely...
arXiv:2510.04983v3 Announce Type: replace Abstract: Identifying cultural capital (CC) themes in student reflections can offer valuable insights that help foster...
arXiv:2511.01192v1 Announce Type: new Abstract: Detecting machine-generated text (MGT) has emerged as a critical challenge, driven by the rapid advancement...
