% Key papers for Test-time compute scaling (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{neurips2023_inference_68639, title = {{Inference-Time Intervention: Eliciting Truthful Answers from a Language Model}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/71200}, } @inproceedings{aaai2024_consistentee_5476, title = {{ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29922}, } @inproceedings{neurips2024_observational_71961, title = {{Observational Scaling Laws and the Predictability of Langauge Model Performance}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95350}, } @inproceedings{iclr2025_mind_83375, title = {{Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/28441}, } @inproceedings{neurips2025_the_77507, title = {{The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=UfFTBEsLgI}, } @inproceedings{iclr2024_think_35302, title = {{Think before you speak: Training Language Models With Pause Tokens}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17771}, } @inproceedings{neurips2025_noise_75917, title = {{Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=DbzREoPwmM}, } @inproceedings{icml2025_stair_47791, title = {{STAIR: Improving Safety Alignment with Introspective Reasoning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44809}, } @inproceedings{neurips2021_to_62980, title = {{To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/28576}, } @inproceedings{neurips2025_agenttts_75777, title = {{AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=BuYtcTUMyA}, } @inproceedings{neurips2025_a_75954, title = {{A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=E0PaeSszLz}, } @inproceedings{neurips2025_provable_76157, title = {{Provable Scaling Laws for the Test-Time Compute of Large Language Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=GBMzJLhsRj}, } @inproceedings{neurips2025_the_77561, title = {{The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=VCj7knCJhn}, } @inproceedings{neurips2025_disc_78804, title = {{DISC: Dynamic Decomposition Improves LLM Inference Scaling}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=iY1zuKydO0}, } @inproceedings{neurips2025_wider_78869, title = {{Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=jAsr5GHt3P}, } @inproceedings{neurips2025_solverllm_79160, title = {{SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=mN3CMpfWR6}, } @inproceedings{neurips2025_rollout_79538, title = {{Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=qPQUrjiA0q}, } @inproceedings{iclr2025_smaller_80687, title = {{Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/31080}, } @inproceedings{iclr2026_the_84538, title = {{The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=3lm8lWYxiq}, } @inproceedings{iclr2026_revolutionizing_85961, title = {{Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=KNAyc9DMe3}, } @inproceedings{iclr2026_grace_87992, title = {{GRACE: Generative Representation Learning via Contrastive Policy Optimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=hs9lwjH1bJ}, } @inproceedings{iclr2026_the_88104, title = {{The Limits of Inference Scaling Through Resampling}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=j8H84v6AZ1}, }