test-time compute

CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades ACL 2026 Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026 Entropy-Gated Branching for Efficient Test-Time Reasoning EACL 2026 Learning Shortcut Models for Efficient Recursive Reasoning ACL 2026 PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning ACL 2026 Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models ACL 2026 Test-time Prompt Intervention AAAI 2026 Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute EACL 2026 Adversarial Reasoning at Jailbreaking Time ICML 2025 A Survey of Post-Training Scaling in Large Language Models ACL 2025 Formalizing Test-Time Compute for Function-Level Code Generation IJCNLP 2025 Interpreting Emergent Planning in Model-Free Reinforcement Learning ICLR 2025 Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers EMNLP 2025 MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning EMNLP 2025 On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures ACL 2025 Optimizing Test-Time Compute via Meta Reinforcement Finetuning ICML 2025 RTTC: Reward-Guided Collaborative Test-Time Compute EMNLP 2025 Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning ICLR 2025 Scaling Test-Time Compute Without Verification or RL is Suboptimal ICML 2025 SPaRC: A Spatial Pathfinding Reasoning Challenge EMNLP 2025 Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models ACL 2025