Tag: AI reasoning
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RL-PLUS: Enhancing LLMs in Reinforcement Learning
Discover RL-PLUS, a hybrid-policy optimization method that overcomes capability boundary collapse in LLMs, boosting reasoning and problem-solving skills.
Enhancing LLM Reasoning with Reinforcement Learning in Pre-train Space
Discover how PreRL and Dual Space RL improve large language model reasoning by optimizing marginal distributions and pruning errors effectively.
LongCoT Benchmark: Advancing Long-Horizon Chain-of-Thought AI
Discover LongCoT, a benchmark with 2,500 expert problems to test and improve long-horizon chain-of-thought reasoning in AI models.
Training-Free Test-Time Contrastive Learning for LLMs
Boost large language models' reasoning with training-free test-time contrastive learning, improving performance without extra training or heavy computation...
C-voting: Boost Test-Time Accuracy Without Energy Functions
Discover C-voting, a confidence-based test-time voting method that improves neural model accuracy without explicit energy functions in reasoning tasks.