SWEAR: Section-Wise Efficient Audio Reasoning via Self-Rated Difficulty
cs.AI
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/shuaijiang/Ke-Omni-R
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning
- Step-Audio-R1 Technical Report
- Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning
- Omni-AutoThink: Adaptive Multimodal Reasoning via Reinforcement Learning
- Qwen3-Omni Technical Report
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
- Qwen2.5-Omni Technical Report
- Omni-CLST: Error-aware Curriculum Learning with guided Selective chain-of-Thought for audio question answering
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems