{"total":16,"rows":[{"id":"2401.15077","title":"EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty","created":"2024-01-26","cited_by_count":578,"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":"2504.07891","title":"SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning","created":"2025-04-10","cited_by_count":59,"area":"lr"},{"id":"2504.13171","title":"Sleep-time Compute: Beyond Inference Scaling at Test-time","created":"2025-04-17","cited_by_count":43,"area":"lr"},{"id":"2510.12164","title":"A Survey on Parallel Reasoning","created":"2025-10-14","cited_by_count":11,"area":"lr"},{"id":"2505.12992","title":"Fractured Chain-of-Thought Reasoning","created":"2025-05-19","cited_by_count":7,"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":"2505.18629","title":"Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2601.21358","title":"Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization","created":"2026-01-29","cited_by_count":6,"area":"lr"},{"id":"2505.07858","title":"Scaling Laws for Speculative Decoding","created":"2025-05-08","cited_by_count":4,"area":"lr"},{"id":"2609.07108","title":"Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training","created":"2026-09-07","cited_by_count":3,"area":"lr"},{"id":"2405.15208","title":"Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs","created":"2024-05-24","cited_by_count":2,"area":"lr"},{"id":"2605.28184","title":"Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration","created":"2026-05-27","cited_by_count":2,"area":"lr"},{"id":"2601.01513","title":"FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation","created":"2026-01-04","cited_by_count":1,"area":"lr"},{"id":"2506.14158","title":"S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","created":"2025-06-17","cited_by_count":0,"area":"lr"},{"id":"2610.12898","title":"Rethinking the Roles of Diffusion and Decoding: Predictive-State Flows for Parallel Language Generation","created":"2026-10-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}