Scaling Latent Reasoning via Looped Language Models
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2510.25741
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Published
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221
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Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
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Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
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Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
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Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
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Self-Improvement in Language Models: The Sharpening Mechanism
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ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
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B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
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Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI
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SPRIGHT: A Fast and Robust Framework for Sparse Walsh-Hadamard Transform
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Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
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DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
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DEER: Draft with Diffusion, Verify with Autoregressive Models
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HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices
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Robust and Calibrated Detection of Authentic Multimedia Content
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Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
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