inference scaling

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models AAAI 2026 Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models EMNLP 2025 BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework ACL 2025 BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing CVPR 2025 CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis ACL 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Examining False Positives under Inference Scaling for Mathematical Reasoning EMNLP 2025 GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length? ICML 2025 Inference Scaling for Bridging Retrieval and Augmented Generation NAACL 2025 Inference Scaling for Long-Context Retrieval Augmented Generation ICLR 2025 Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving ICLR 2025 IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis ICLR 2025 Keep Guessing? When Considering Inference Scaling, Mind the Baselines NAACL 2025 OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees ICLR 2025 Planning in Natural Language Improves LLM Search for Code Generation ICLR 2025 Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? ACL 2025 R-PRM: Reasoning-Driven Process Reward Modeling EMNLP 2025 s1: Simple test-time scaling EMNLP 2025 SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling ACL 2025 T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ICML 2025 VerifiAgent: a Unified Verification Agent in Language Model Reasoning EMNLP 2025 When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs EMNLP 2025