conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Mathematical Framework for Online Social Media Auditing JMLR 2024 MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs ACL 2024 MathPile: A Billion-Token-Scale Pretraining Corpus for Math NeurIPS 2024 Math Problem Solving: Enhancing Large Language Models with Semantically Rich Symbolic Variables COLING 2024 MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning NAACL 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 Matryoshka Query Transformer for Large Vision-Language Models NeurIPS 2024 Maximizing the Success Probability of Policy Allocations in Online Systems AAAI 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024 MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval NAACL 2024 McGill NLP Group Submission to the MRL 2024 Shared Task: Ensembling Enhances Effectiveness of Multilingual Small LMs EMNLP 2024 MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing EMNLP 2024 Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework AAAI 2024 Measuring and Addressing Indexical Bias in Information Retrieval ACL 2024 Measuring Dejavu Memorization Efficiently NeurIPS 2024 Measuring Per-Unit Interpretability at Scale Without Humans NeurIPS 2024 Measuring Political Bias in Large Language Models: What Is Said and How It Is Said ACL 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions ICML 2024 Measuring the Robustness of NLP Models to Domain Shifts EMNLP 2024 Mechanistic Design and Scaling of Hybrid Architectures ICML 2024 Mechanistic Neural Networks for Scientific Machine Learning ICML 2024 Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024 MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024