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Efficient Computing

6,876 papers

Papers per year

Papers

Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024
Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024
Extending Context Window of Large Language Models from a Distributional Perspective EMNLP 2024
Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024
Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination EMNLP 2024
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards EMNLP 2024
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024
MOSEL: Inference Serving Using Dynamic Modality Selection EMNLP 2024
Efficient Sequential Decision Making with Large Language Models EMNLP 2024
Fast Forwarding Low-Rank Training EMNLP 2024
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge EMNLP 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024
TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024