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Efficient Computing

6876 directly classified papers

Papers per year

Papers

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models ACL 2025
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation ACL 2025
Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025
EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models ACL 2025
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference ACL 2025
Enhancing Cross-Lingual Transfer through Reversible Transliteration: A Huffman-Based Approach for Low-Resource Languages ACL 2025
TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning ACL 2025
FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation ACL 2025
Soundwave: Less is More for Speech-Text Alignment in LLMs ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025
Enhancing Lexicon-Based Text Embeddings with Large Language Models ACL 2025
Understanding Silent Data Corruption in LLM Training ACL 2025
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models ACL 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025
RefreshKV: Updating Small KV Cache During Long-form Generation ACL 2025
500xCompressor: Generalized Prompt Compression for Large Language Models ACL 2025
LLM Agents Making Agent Tools ACL 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025
Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025