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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35

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142

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147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

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Papers (including subtopics)

Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025 Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025 Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration EMNLP 2025 Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning ICCV 2025 Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark EMNLP 2025 Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment CVPR 2025 Rethinking Prompt-based Debiasing in Large Language Model ACL 2025 Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025 Rethinking Repetition Problems of LLMs in Code Generation ACL 2025 Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels ICLR 2025 Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation EMNLP 2025 Rethinking Table Instruction Tuning ACL 2025 Rethinking Text-based Protein Understanding: Retrieval or LLM? EMNLP 2025 Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025 Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation ICLR 2025 Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction ACL 2025 Rethinking the Temperature for Federated Heterogeneous Distillation ICML 2025 Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks CVPR 2025 Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion CVPR 2025 Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models COLING 2025 Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025 Retraining-free Merging of Sparse MoE via Hierarchical Clustering ICML 2025