https://github.com/optimalscale/lmflow
공식 코드LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
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LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models
Boosting Disfluency Detection with Large Language Model as Disfluency Generator
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Rank1: Test-Time Compute for Reranking in Information Retrieval
Excuse me, sir? Your language model is leaking (information)
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
AttributionBench: How Hard is Automatic Attribution Evaluation?
Automatic Evaluation of Attribution by Large Language Models
Biomedical Language Models are Robust to Sub-optimal Tokenization
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
AntiFold: Improved antibody structure-based design using inverse folding
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
Codified audio language modeling learns useful representations for music information retrieval
Fast Training of Recurrent Neural Networks with Stationary State Feedbacks
Scalable Influence and Fact Tracing for Large Language Model Pretraining
Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents
PalmTree: Learning an Assembly Language Model for Instruction Embedding
Author Identification using Multi-headed Recurrent Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.