Efficient Computing

LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models CVPR 2025 Long Context Compression with Activation Beacon ICLR 2025 LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating ACL 2025 Long-Form Speech Generation with Spoken Language Models ICML 2025 LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios NAACL 2025 LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture EMNLP 2025 LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models ACL 2025 LongVILA: Scaling Long-Context Visual Language Models for Long Videos ICLR 2025 LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding ICML 2025 Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query EMNLP 2025 Looking Beyond the Top-1: Transformers Determine Top Tokens in Order ICML 2025 Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling EMNLP 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation COLING 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning EMNLP 2025 LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation ICCV 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation ICLR 2025 LoSA: Long-Short-Range Adapter for Scaling End-to-End Temporal Action Localization WACV 2025 Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding NAACL 2025 LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression ICML 2025 Low-Bit Quantization Favors Undertrained LLMs ACL 2025 Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning EMNLP 2025 Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions COLT 2025 Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space ICML 2025