reasoning ability

HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization AAAI 2026 HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses Through Reasoning MLLMs AAAI 2026 MIND: From Passive Mimicry to Active Reasoning through Capability-Aware Multi-Perspective CoT Distillation ACL 2026 What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation IJCNLP 2025 An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025 Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models ACL 2025 Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic ACL 2025 DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? NAACL 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Investigating the Reasoning Abilities of Large Language Models for Understanding Spoken Language in Interpersonal Interactions Interspeech 2025 Large Language Models Exhibit Limited Reasoning Ability on Coding Problems IJCNLP 2025 LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025 Reasoning with Latent Thoughts: On the Power of Looped Transformers ICLR 2025 ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection ACL 2025 Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering EMNLP 2025 StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025 StrucText-Eval: Evaluating Large Language Model’s Reasoning Ability in Structure-Rich Text ACL 2025 The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025 Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales EMNLP 2025 TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation ACL 2025