large reasoning model

Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal Adjudication ACL 2026 AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters ACL 2026 Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models AAAI 2026 AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models ACL 2026 CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models ACL 2026 CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models AAAI 2026 CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization ACL 2026 Controllable LLM Reasoning via Sparse Autoencoder-Based Steering ACL 2026 CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026 Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning ACL 2026 DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ACL 2026 Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking ACL 2026 FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models ACL 2026 From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control ACL 2026 How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains EACL 2026 How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study ACL 2026 Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models AAAI 2026 Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026 Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models ACL 2026 Merlin’s Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting ACL 2026 Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models ACL 2026 NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons ACL 2026 Optimizing Length Compression in Large Reasoning Models ACL 2026 PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition ACL 2026 PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts ACL 2026