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conftrace_

model scaling

151 papers

Papers

Multi-Head Mixture-of-Experts NeurIPS 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024 On the Scaling Laws of Geographical Representation in Language Models COLING 2024 Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage EACL 2024 Revisiting Adversarial Training at Scale CVPR 2024 Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? NeurIPS 2024 ScaleKD: Strong Vision Transformers Could Be Excellent Teachers NeurIPS 2024 Scaling Instruction-Finetuned Language Models JMLR 2024 Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NeurIPS 2024 Scaling Laws for Sparsely-Connected Foundation Models ICLR 2024 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild CVPR 2024 Scaling White-Box Transformers for Vision NeurIPS 2024 SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling NAACL 2024 Sparse maximal update parameterization: A holistic approach to sparse training dynamics NeurIPS 2024 Tending Towards Stability: Convergence Challenges in Small Language Models EMNLP 2024 The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning ICLR 2024 Tokenization Falling Short: On Subword Robustness in Large Language Models EMNLP 2024 Transformer verbatim in-context retrieval across time and scale CoNLL 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective NeurIPS 2024 UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling NeurIPS 2024 When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale NAACL 2024 When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method ICLR 2024