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Efficient Computing

6876 directly classified papers

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Papers

Thought calibration: Efficient and confident test-time scaling EMNLP 2025
LightThinker: Thinking Step-by-Step Compression EMNLP 2025
Speculative Safety-Aware Decoding EMNLP 2025
ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement EMNLP 2025
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation EMNLP 2025
NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025
Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models EMNLP 2025
Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering EMNLP 2025
CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM EMNLP 2025
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs EMNLP 2025
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation EMNLP 2025
Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More EMNLP 2025
Does quantization affect models’ performance on long-context tasks? EMNLP 2025
DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off EMNLP 2025
M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework EMNLP 2025
LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity EMNLP 2025
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025
Structuring Radiology Reports: Challenging LLMs with Lightweight Models EMNLP 2025
An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025
LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025