Latest papers

CardsList

23 papers8 papers in the last four weeks, up 167% on the four weeks before. 0.0% of all new papers.

  1. ReLaDrift: Recurrent Language Generation via Drifting for Test-Time Scaling

    Oct 16, 2026Yuki Otsuka, Daisuke Oba, Naoaki OkazakiTest-Time ScalingRecurrent Language Models

  2. Running Fewer Loops Removes Refusal Behaviour in Recurrent-Depth Language Models

    Oct 10, 2026Seyedarmin Azizi, Erfan Baghaei Potraghloo, Arya Fayyazi +2Recurrent Language ModelsRefusal Behavior in Language Models

  3. Towards Looped Models Done Right, Part II: Rethinking at Fixed Points

    Oct 5, 2026Benhao Huang, Chufan Shi, Junlin Chen +4Efficient Language Model TrainingRecurrent Transformers

  4. Closing the Loop: Practical Training Recipes for Looped Language Models

    Sep 30, 2026Andrei Marchenko, Viacheslav Bezrukov, Oleg Kashurin +5Efficient Language Model TrainingLLM Training

  5. KV-streams for Efficient Compaction in Agentic Reinforcement Learning

    Sep 28, 2026Emiliano Penaloza, Dane Malenfant, Dheeraj Vattikonda +15Recurrent Language ModelsAgentic RL

  6. Log-Depth Recurrent Language Modeling

    Sep 23, 2026Yiqin Wang, Nuri Cingillioglu, Charles PertRecurrent Language ModelsLong-Context Language Modeling

  7. Attention Routing Stabilizes Early: Working-Set Inference for Recurrent Language Models

    Sep 23, 2026Ke Wan, Chen ChenLong-Context Language Model InferenceRecurrent Transformers

  8. Temporal Recurrence Favors Fewer Layers

    Sep 11, 2026Ivan Anokhin, Johan Obando-Ceron, Irina Rish +1Recurrent Neural NetworksRecurrent Language Models

  9. Fast Weight Attention for Continual Learning

    Aug 27, 2026Yifan Zhang, Steve Ta, Jasper Zhang +8Recurrent Language ModelsMemory-Augmented Language Models

  10. Allocating Recurrent Compute in Looped Language Models

    Aug 18, 2026Ruhai Lin, Yiyang Guo, Rui-Jie Zhu +2Recurrent Language ModelsRecurrent Transformers

  11. Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models

    Apr 20, 2026Tobias Grantner, Emanuel Sallinger, Martin FlechlRecurrent Language ModelsMemory-Efficient Inference

  12. AdaPonderLM: Gated Pondering Language Models with Token-Wise Adaptive Depth

    Mar 2, 2026Shixiang Song, He Li, Zitong Wang +6Recurrent Language ModelsInference-Time Adaptation of Language Models