conftrace_
← Application Areas
Machine Learning › Application Areas ›

Efficient Computing

6,876 papers

Papers per year

Papers

HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits ACL 2024
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models ACL 2024
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records ACL 2024
Concise and Precise Context Compression for Tool-Using Language Models ACL 2024
SICAR at RRG2024: GPU Poor’s Guide to Radiology Report Generation ACL 2024
Shimo Lab at “Discharge Me!”: Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections ACL 2024
e-Health CSIRO at “Discharge Me!” 2024: Generating Discharge Summary Sections with Fine-tuned Language Models ACL 2024
EPFL-MAKE at “Discharge Me!”: An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record ACL 2024
Locally Biased Transformers Better Align with Human Reading Times ACL 2024
Multi-Model System for Effective Subtitling Compression ACL 2024
Compact Speech Translation Models via Discrete Speech Units Pretraining ACL 2024
PhonologyBench: Evaluating Phonological Skills of Large Language Models ACL 2024
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses ACL 2024
Repurformer: Transformers for Repurposing-Aware Molecule Generation ACL 2024
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs ACL 2024
IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024
Scalable Higher-Order Tensor Product Spline Models AISTATS 2024
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels AISTATS 2024
Adaptive Compression in Federated Learning via Side Information AISTATS 2024
Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024
Queuing dynamics of asynchronous Federated Learning AISTATS 2024
A Neural Architecture Predictor based on GNN-Enhanced Transformer AISTATS 2024
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024
BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024