{"total":26,"rows":[{"id":"2502.05171","title":"Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach","created":"2025-02-07","cited_by_count":415,"area":"lr"},{"id":"2503.21614","title":"A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond","created":"2025-03-27","cited_by_count":132,"area":"lr"},{"id":"2411.02359","title":"DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution","created":"2024-11-04","cited_by_count":117,"area":"lr"},{"id":"2501.19324","title":"Reward-Guided Speculative Decoding for Efficient LLM Reasoning","created":"2025-01-31","cited_by_count":106,"area":"lr"},{"id":"2505.07686","title":"S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models","created":"2025-05-12","cited_by_count":87,"area":"lr"},{"id":"2602.11451","title":"LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation","created":"2026-02-11","cited_by_count":61,"area":"lr"},{"id":"2505.18962","title":"System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts","created":"2025-05-25","cited_by_count":27,"area":"lr"},{"id":"2510.07358","title":"Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts","created":"2025-10-08","cited_by_count":24,"area":"lr"},{"id":"2603.01914","title":"AdaPonderLM: Gated Pondering Language Models with Token-Wise Adaptive Depth","created":"2026-03-02","cited_by_count":10,"area":"lr"},{"id":"2605.06908","title":"Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents","created":"2026-05-07","cited_by_count":8,"area":"lr"},{"id":"2506.03700","title":"AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism","created":"2025-06-04","cited_by_count":7,"area":"lr"},{"id":"2509.24238","title":"Learning to Ponder: Adaptive Reasoning in Latent Space","created":"2025-09-29","cited_by_count":5,"area":"lr"},{"id":"2603.02023","title":"PonderLM-3: Adaptive Token-Wise Pondering with Differentiable Masking","created":"2026-03-02","cited_by_count":4,"area":"lr"},{"id":"2509.07820","title":"Certainty-Guided Reasoning in Large Language Models: A Dynamic Thinking Budget Approach","created":"2025-09-09","cited_by_count":3,"area":"lr"},{"id":"2604.06613","title":"The Detection-Extraction Gap: Models Know the Answer Before They Can Say It","created":"2026-04-08","cited_by_count":2,"area":"lr"},{"id":"2605.27965","title":"The Shape of Overthinking: Backtracking Bursts in Long Reasoning Traces","created":"2026-05-27","cited_by_count":2,"area":"lr"},{"id":"2605.29089","title":"OISD: On-Policy Internal Self-Distillation of Language Models","created":"2026-05-27","cited_by_count":1,"area":"lr"},{"id":"2609.27373","title":"Attention Routing Stabilizes Early: Working-Set Inference for Recurrent Language Models","created":"2026-09-23","cited_by_count":1,"area":"lr"},{"id":"2609.35748","title":"Improving Test-Time Scaling with Adaptive Looped Transformers","created":"2026-09-28","cited_by_count":1,"area":"lr"},{"id":"2508.10123","title":"Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts","created":"2025-08-13","cited_by_count":0,"area":"lr"},{"id":"2510.14211","title":"LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning","created":"2025-10-16","cited_by_count":0,"area":"lr"},{"id":"2606.30217","title":"Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning","created":"2026-06-29","cited_by_count":0,"area":"lr"},{"id":"2607.08775","title":"HALO: Hybrid Adaptive Latent Reasoning for Language Models","created":"2026-05-03","cited_by_count":0,"area":"lr"},{"id":"2610.00437","title":"JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.00623","title":"HAWK: Rethinking Multimodal Drafting for Speculative Decoding","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.04751","title":"Dynamic Routing as a New Dimension for Test-time Versatility of LLMs","created":"2026-10-03","cited_by_count":0,"area":"lr"}],"next_cursor":null}