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CoLA

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Showing 1–50 of 78 papers

TitleStatusHype
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear AlgebraCode2
Stance Detection with Collaborative Role-Infused LLM-Based AgentsCode1
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source LocalizerCode1
Multi-Source Contrastive Learning from Musical AudioCode1
Linear Connectivity Reveals Generalization StrategiesCode1
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank ActivationCode1
CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object DetectionCode1
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node TasksCode1
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveCode1
COLA: Cross-city Mobility Transformer for Human Trajectory SimulationCode1
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence RepresentationsCode1
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive LearningCode1
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI SynthesisCode1
COLA: A Benchmark for Compositional Text-to-image RetrievalCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
CoLa -- Learning to Interactively Collaborate with Large LMs—0
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction—0
ADMM Based Semi-Structured Pattern Pruning Framework For Transformer—0
An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning—0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences—0
An Information Theoretic Evaluation Metric For Strong Unlearning—0
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning—0
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection—0
Can VLMs be used on videos for action recognition? LLMs are Visual Reasoning Coordinators—0
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks—0
Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explainable Tool—0
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning—0
CoCo-CoLa: Evaluating and Improving Language Adherence in Multilingual LLMs—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations—0
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization—0
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
Efficient Fine-Tuning of BERT Models on the Edge—0
Efficient Fine-Tuning of Compressed Language Models with Learners—0
EFSG: Evolutionary Fooling Sentences Generator—0
Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models—0
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments—0
Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments—0
Grammaticality and Language Modelling—0
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction—0
Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective—0
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach—0
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample—0
Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models—0
Optimal policy design for the sugar tax—0
Optimizing Language Models for Grammatical Acceptability: A Comparative Study of Fine-Tuning Techniques—0
Predicting Emergent Capabilities by Finetuning—0
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective—0
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