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Yale University
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Metacognitive abilities in LLMs could redefine their effectiveness in learning and decision-making, yet the extent of this potential remains largely untapped.
Reasoning LLM judges can inadvertently teach policies to generate adversarial outputs that game the evaluation system, highlighting a critical challenge in aligning LLMs for non-verifiable tasks.
Training on SciMDR, a new 300K QA dataset synthesized from scientific papers, substantially boosts model performance on complex, document-level scientific reasoning tasks.
