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The paper introduces Memory Adaptation for Task-Conditioned Execution, a deterministic post-retrieval procedure that converts trajectories into execution-oriented memory.
Source: arXiv cs.CL
https://arxiv.org/abs/2609.35808
#MachineLearning
Intrinsic self-correction allows a language model to revise its own answer without external evidence. A second pass recovers mistakes but can overturn correct answers. Aggregate accuracy can conceal differing revision behavior.
Source: arXiv cs.CL
https://arxiv.org/abs/2609.35832
#MachineLearning
Demographic Pluralism is introduced as an inference-time framework that estimates population-level opinion distributions without opinion-distribution training data or task-specific fine-tuning.
Source: arXiv
https://arxiv.org/abs/2609.38555
#MachineLearning
The paper introduces Long-Transduction, a diagnostic that tests a model's ability to stay on task during long-horizon generation by repeatedly reading, mutating and outputting context-dependent operations.
Source: arXiv
https://arxiv.org/abs/2609.38712
#MachineLearning
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