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1184 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 1
2004: 2
2005: 3
2006: 12
2007: 12
2008: 20
2009: 10
2010: 15
2011: 15
2012: 36
2013: 76
2014: 59
2015: 48
2016: 45
2017: 58
2018: 61
2019: 72
2020: 82
2021: 95
2022: 111
2023: 101
2024: 144
2025: 100
2026: 3
Papers
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
WACV 2026
MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency
WACV 2026
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
WACV 2026
PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes
CVPR 2025
Compositional Targeted Multi-Label Universal Perturbations
CVPR 2025
ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
EMNLP 2025
Integral Fast Fourier Color Constancy
CVPR 2025
Enhancing Machine Translation with Self-Supervised Preference Data
ACL 2025
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
EMNLP 2025
HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task
EMNLP 2025
HMoE: Heterogeneous Mixture of Experts for Language Modeling
EMNLP 2025
Frequency-Biased Synergistic Design for Image Compression and Compensation
CVPR 2025
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization
EMNLP 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them
COLING 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
ACL 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning
AAAI 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
ACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
ACL 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
ACL 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level
ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization
ACL 2025
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
EMNLP 2025
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