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

2,498

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6,422

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1,666

2000

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Papers (including subtopics)

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 SlimLM: An Efficient Small Language Model for On-Device Document Assistance ACL 2025 Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling ICML 2025 SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression ICML 2025 SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts EMNLP 2025 SLMRec: Distilling Large Language Models into Small for Sequential Recommendation ICLR 2025 SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs ICLR 2025 SLOT: Structuring the Output of Large Language Models EMNLP 2025 SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models EMNLP 2025 SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity Representation CVPR 2025 Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts IJCNLP 2025 Small Encoders Can Rival Large Decoders in Detecting Groundedness ACL 2025 Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling ICLR 2025 Small Language Models in the Real World: Insights from Industrial Text Classification ACL 2025 Small Models are LLM Knowledge Triggers for Medical Tabular Prediction ICLR 2025 Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages ACL 2025 Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition EMNLP 2025 Small Models Struggle to Learn from Strong Reasoners ACL 2025 Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale ICLR 2025 SMamba: Sparse Mamba for Event-based Object Detection AAAI 2025 Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference ACL 2025 Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025 SMARTMiner: Extracting and Evaluating SMART Goals from Low-Resource Health Coaching Notes EMNLP 2025 Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students AAAI 2025 SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds ICML 2025