Compositional Reasoning in Language Models under Reinforcement Learning Post-Training
cs.AI, cs.LG
Submitted: 2026-09-16
Updated: 2026-09-16
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- On Provable Length and Compositional Generalization
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Faith and Fate: Limits of Transformers on Compositionality
- The Llama 3 Herd of Models
- Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- HybridFlow: A Flexible and Efficient RLHF Framework
- Qwen3 Technical Report
- Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
- Learning Composable Chains-of-Thought
- From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones
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