reasoning performance

Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning EMNLP 2025 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 Eliciting Causal Abilities in Large Language Models for Reasoning Tasks AAAI 2025 Improving Reasoning Performance in Large Language Models via Representation Engineering ICLR 2025 Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation EMNLP 2025 Policy Guided Tree Search for Enhanced LLM Reasoning ICML 2025 Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing ICML 2025 Rethinking Chain-of-Thought from the Perspective of Self-Training ICML 2025 Structured Pruning for Diverse Best-of-N Reasoning Optimization ACL 2025 ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations EMNLP 2025 TokenSkip: Controllable Chain-of-Thought Compression in LLMs EMNLP 2025 Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems EMNLP 2025 Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models ACL 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024