{"total":43,"rows":[{"id":"2504.10903","title":"Efficient Reasoning Models: A Survey","created":"2025-04-15","cited_by_count":95,"area":"lr"},{"id":"2505.11274","title":"SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning","created":"2025-05-16","cited_by_count":48,"area":"lr"},{"id":"2508.02120","title":"Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models","created":"2025-08-04","cited_by_count":37,"area":"lr"},{"id":"2505.21600","title":"R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing","created":"2025-05-27","cited_by_count":29,"area":"lr"},{"id":"2505.17941","title":"VeriThinker: Learning to Verify Makes Reasoning Model Efficient","created":"2025-05-23","cited_by_count":24,"area":"lr"},{"id":"2601.05110","title":"GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts","created":"2026-01-08","cited_by_count":17,"area":"lr"},{"id":"2505.17155","title":"TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling","created":"2025-05-22","cited_by_count":14,"area":"lr"},{"id":"2511.16665","title":"Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter","created":"2025-11-20","cited_by_count":14,"area":"lr"},{"id":"2506.19830","title":"Scaling Speculative Decoding with Lookahead Reasoning","created":"2025-06-24","cited_by_count":13,"area":"lr"},{"id":"2505.19788","title":"Done Is Better than Perfect: Unlocking Efficient Reasoning by Structured Multi-Turn Decomposition","created":"2025-05-26","cited_by_count":11,"area":"lr"},{"id":"2504.10368","title":"Exploring the System 1 Thinking Capability of Large Reasoning Models","created":"2025-04-14","cited_by_count":10,"area":"lr"},{"id":"2511.06190","title":"Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning","created":"2025-11-09","cited_by_count":9,"area":"lr"},{"id":"2510.20812","title":"Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation","created":"2025-10-23","cited_by_count":8,"area":"lr"},{"id":"2601.05167","title":"RelayLLM: Efficient Reasoning via Collaborative Decoding","created":"2026-01-08","cited_by_count":8,"area":"lr"},{"id":"2601.10245","title":"TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks","created":"2026-01-15","cited_by_count":8,"area":"lr"},{"id":"2601.11340","title":"Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models","created":"2026-01-16","cited_by_count":8,"area":"lr"},{"id":"2509.04474","title":"Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling","created":"2025-08-30","cited_by_count":6,"area":"lr"},{"id":"2505.17746","title":"Fast Quiet-STaR: Thinking Without Thought Tokens","created":"2025-05-23","cited_by_count":5,"area":"lr"},{"id":"2505.15340","title":"SSR: Speculative Parallel Scaling Reasoning in Test-time","created":"2025-05-21","cited_by_count":4,"area":"lr"},{"id":"2512.20573","title":"Fail Fast, Win Big: Rethinking the Drafting Strategy in Speculative Decoding via Diffusion LLMs","created":"2025-12-23","cited_by_count":4,"area":"lr"},{"id":"2602.18447","title":"ConfSpec: Efficient Step-Level Speculative Reasoning via Confidence-Gated Verification","created":"2026-01-28","cited_by_count":4,"area":"lr"},{"id":"2509.00195","title":"FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning","created":"2025-08-29","cited_by_count":3,"area":"lr"},{"id":"2509.15148","title":"ATTS: Asynchronous Test-Time Scaling via Conformal Prediction","created":"2025-09-18","cited_by_count":3,"area":"lr"},{"id":"2510.06052","title":"MixReasoning: Switching Modes to Think","created":"2025-10-07","cited_by_count":3,"area":"lr"},{"id":"2604.26940","title":"Select to Think: Unlocking SLM Potential with Local Sufficiency","created":"2026-04-29","cited_by_count":3,"area":"lr"},{"id":"2506.04708","title":"Accelerated Test-Time Scaling with Model-Free Speculative Sampling","created":"2025-06-05","cited_by_count":2,"area":"lr"},{"id":"2512.00805","title":"Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding","created":"2025-11-30","cited_by_count":2,"area":"lr"},{"id":"2512.05033","title":"Arbitrage: Efficient Reasoning via Advantage-Aware Speculation","created":"2025-12-04","cited_by_count":2,"area":"lr"},{"id":"2604.04929","title":"Rethinking Model Efficiency: Multi-Agent Inference with Large Models","created":"2026-04-06","cited_by_count":2,"area":"lr"},{"id":"2605.29310","title":"Rubric-Guided Process Reward for Stepwise Model Routing","created":"2026-05-28","cited_by_count":2,"area":"lr"},{"id":"2603.23483","title":"SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning","created":"2026-03-24","cited_by_count":1,"area":"lr"},{"id":"2604.14847","title":"TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models","created":"2026-04-16","cited_by_count":1,"area":"lr"},{"id":"2604.16694","title":"RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient Reasoning","created":"2026-04-17","cited_by_count":1,"area":"lr"},{"id":"2605.30898","title":"UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling","created":"2026-05-29","cited_by_count":1,"area":"lr"},{"id":"2606.02011","title":"Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery","created":"2026-06-01","cited_by_count":1,"area":"lr"},{"id":"2601.11252","title":"Beyond Model Scaling: Test-Time Intervention for Efficient Deep Reasoning","created":"2026-01-16","cited_by_count":0,"area":"lr"},{"id":"2602.14451","title":"Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning","created":"2026-02-16","cited_by_count":0,"area":"lr"},{"id":"2604.15244","title":"From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning","created":"2026-04-16","cited_by_count":0,"area":"lr"},{"id":"2605.06116","title":"Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning","created":"2026-05-07","cited_by_count":0,"area":"lr"},{"id":"2605.10195","title":"Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration","created":"2026-05-11","cited_by_count":0,"area":"lr"},{"id":"2606.08596","title":"Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration","created":"2026-06-07","cited_by_count":0,"area":"lr"},{"id":"2608.13667","title":"Second Thought: Reasoning in Parallel as LLM Agents Act and Observe","created":"2026-08-13","cited_by_count":0,"area":"lr"},{"id":"2609.37304","title":"MetaCtrl: Your Large Language Models Can Reason Better and More Concisely with a Metacognitive Controller","created":"2026-09-29","cited_by_count":0,"area":"lr"}],"next_cursor":null}