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Efficient Computing
6876 directly classified papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
ACL 2025
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers
ACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
ACL 2025
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
ACL 2025
Retrofitting Large Language Models with Dynamic Tokenization
ACL 2025
A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models
ACL 2025
Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training
ACL 2025
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
ACL 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service
ACL 2025
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
ACL 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
ACL 2025
State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
ACL 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications
ACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
ACL 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Q-Mamba: Towards more efficient Mamba models via post-training quantization
ACL 2025
Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition
ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization
ACL 2025
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
ACL 2025
Run LoRA Run: Faster and Lighter LoRA Implementations
ACL 2025
Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
ACL 2025
Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
ACL 2025
ChuLo: Chunk-Level Key Information Representation for Long Document Understanding
ACL 2025
Each graph is a new language: Graph Learning with LLMs
ACL 2025
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