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Efficient Computing

8,226 papers

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Papers

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View EMNLP 2025 SQLGenie: A Practical LLM based System for Reliable and Efficient SQL Generation ACL 2025 SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget ICLR 2025 Squeezed Attention: Accelerating Long Context Length LLM Inference ACL 2025 SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model NAACL 2025 SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting ICCV 2025 ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming AAAI 2025 STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks CVPR 2025 StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs ACL 2025 STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning ICLR 2025 Standardizing Heterogeneous Corpora with DUUR: A Dual Data- and Process-Oriented Approach to Enhancing NLP Pipeline Integration IJCNLP 2025 Star Attention: Efficient LLM Inference over Long Sequences ICML 2025 State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models ACL 2025 Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering EMNLP 2025 STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs ICLR 2025 STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025 Steering LLM Reasoning Through Bias-Only Adaptation EMNLP 2025 STEP: Staged Parameter-Efficient Pre-training for Large Language Models NAACL 2025 Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025 StitchLLM: Serving LLMs, One Block at a Time ACL 2025 Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More EMNLP 2025 Streaming Video Question-Answering with In-context Video KV-Cache Retrieval ICLR 2025 Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM ICML 2025 Streamlining LLMs: Adaptive Knowledge Distillation for Tailored Language Models NAACL 2025 Streamlining Redundant Layers to Compress Large Language Models ICLR 2025