inference efficiency

Towards Aligned and Efficient Large Language Models AAAI 2026 TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model CVPR 2026 UTokyo Tsuruoka Lab at SemEval-2026 Task 9: Efficient Single Forward Pass Inference for Multi-Label Polarization Classification SemEval 2026 Variation-aware Vision Token Dropping for Faster Large Vision-Language Models CVPR 2026 VisionLeaf: Entropy-Guided Leaf-First Reasoning for Efficient and Accurate Think-with-Image CVPR 2026 VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions CVPR 2026 xLM: A Python Package for Non-Autoregressive Language Models EACL 2026 ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models CVPR 2026 D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models ICLR 2025 500xCompressor: Generalized Prompt Compression for Large Language Models ACL 2025 Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling EMNLP 2025 Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models AAAI 2025 Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters ICLR 2025 AdaptMerge: Inference Time Adaptive Visual and Language-Guided Token Merging for Efficient Large Multimodal Models EMNLP 2025 AdaptThink: Reasoning Models Can Learn When to Think EMNLP 2025 AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation ICML 2025 Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA EMNLP 2025 Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification EMNLP 2025 A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts ICLR 2025 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference ACL 2025 An Empirical Study of Iterative Refinements for Non-autoregressive Translation ACL 2025 An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025 A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference NAACL 2025 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025