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20232026
most citedRNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2025

QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation

Jiazheng Li, Hongzhou Lin, Hong Lu +5

Reinforcement learning (RL) has emerged as a central paradigm for training large language models (LLMs) in reasoning tasks. Yet recent studies question RL's ability to incentivize…

cs.LG2025

Task Generalization With AutoRegressive Compositional Structure: Can Learning From Tasks Generalize to Tasks?

Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen +3

Large language models (LLMs) exhibit remarkable task generalization, solving tasks they were never explicitly trained on with only a few demonstrations. This raises a fundamental q…