Cited by: The Llama 3 Herd of Models
66 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.
- Reinforcement Learning for Reasoning in Large Language Models with One Training Example
arxiv:2504.20571· evidence: id - Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
arxiv:2505.13763· evidence: id - The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
arxiv:2505.15134· evidence: id - From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
arxiv:2505.17117· evidence: title - Can Large Reasoning Models Self-Train?
arxiv:2505.21444· evidence: id - Reinforcing General Reasoning without Verifiers
arxiv:2505.21493· evidence: id - How much do language models memorize?
arxiv:2505.24832· evidence: id - Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
arxiv:2506.01939· evidence: id - Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
arxiv:2506.03106· evidence: id - Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
arxiv:2506.06632· evidence: id - Spurious Rewards: Rethinking Training Signals in RLVR
arxiv:2506.10947· evidence: title - Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
arxiv:2507.10524· evidence: id - Modular Arithmetic: Language Models Solve Math Digit by Digit
arxiv:2508.02513· evidence: id - On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
arxiv:2508.05629· evidence: id - On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
arxiv:2508.11408· evidence: id - Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
arxiv:2509.03646· evidence: id - Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
arxiv:2509.14234· evidence: id - From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones
arxiv:2509.25123· evidence: title - Cache-to-Cache: Direct Semantic Communication Between Large Language Models
arxiv:2510.03215· evidence: title - NorMuon: Making Muon more efficient and scalable
arxiv:2510.05491· evidence: title - Representation-Based Exploration for Language Models: From Test-Time to Post-Training
arxiv:2510.11686· evidence: id - Continuous Autoregressive Language Models
arxiv:2510.27688· evidence: id - Enabling Agents to Communicate Entirely in Latent Space
arxiv:2511.09149· evidence: title - SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
arxiv:2512.02807· evidence: title