{"total":18,"rows":[{"id":"2410.17195","title":"Non-myopic Generation of Language Models for Reasoning and Planning","created":"2024-10-22","cited_by_count":26,"area":"lr"},{"id":"2502.01567","title":"Latent Thought Models with Variational Bayes Inference-Time Computation","created":"2025-02-03","cited_by_count":25,"area":"lr"},{"id":"2504.08672","title":"Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning","created":"2025-04-11","cited_by_count":24,"area":"lr"},{"id":"2505.11737","title":"TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning","created":"2025-05-16","cited_by_count":24,"area":"lr"},{"id":"2506.11029","title":"Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model","created":"2025-05-20","cited_by_count":24,"area":"lr"},{"id":"2412.15118","title":"Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation","created":"2024-12-19","cited_by_count":21,"area":"lr"},{"id":"2510.24051","title":"Pie: A Programmable Serving System for Emerging LLM Applications","created":"2025-10-28","cited_by_count":14,"area":"lr"},{"id":"2509.25177","title":"Mitigating Hallucination in Multimodal LLMs with Layer Contrastive Decoding","created":"2025-09-29","cited_by_count":10,"area":"lr"},{"id":"2506.03616","title":"Learning to Insert [PAUSE] Tokens for Better Reasoning","created":"2025-06-04","cited_by_count":8,"area":"lr"},{"id":"2407.03951","title":"Uncertainty-Guided Likelihood Tree Search","created":"2024-07-04","cited_by_count":4,"area":"lr"},{"id":"2509.17238","title":"MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE","created":"2025-09-21","cited_by_count":4,"area":"lr"},{"id":"2510.13170","title":"Putting on the Thinking Hats: A Survey on Chain of Thought Fine-tuning from the Perspective of Human Reasoning Mechanism","created":"2025-10-15","cited_by_count":4,"area":"lr"},{"id":"2601.22629","title":"Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models","created":"2026-01-30","cited_by_count":3,"area":"lr"},{"id":"2603.15377","title":"More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search","created":"2026-03-16","cited_by_count":3,"area":"lr"},{"id":"2608.29988","title":"AutoCRAT: Within-trajectory Joint Control of Stochasticity and Compute for LLM Reasoning","created":"2026-08-30","cited_by_count":2,"area":"lr"},{"id":"2508.15766","title":"Discovering Hidden Algebraic Structures via Transformers with Rank-Aware Beam GRPO","created":"2025-08-21","cited_by_count":1,"area":"lr"},{"id":"2601.01714","title":"Entropy-Aligned Decoding of LMs for Better Writing and Reasoning","created":"2026-01-05","cited_by_count":1,"area":"lr"},{"id":"2608.09344","title":"Beyond Global Editing: Per-Instance Disentangled Subspaces for Training-Free Hallucination Mitigation in LVLMs","created":"2026-08-10","cited_by_count":0,"area":"lr"}],"next_cursor":null}