conftrace_

scaling law

120 papers

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large language model (13587) language model (4599) model scaling (135) transfer learning (5449) neural network optimization (1293) zero-shot learning (3650) transformer architecture (1560) mixture of expert (640) compute budget (9) multimodal learning (4645)

Papers

The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG ACL 2026
Inference Scaling Law for Retrieval Augmented Generation AAAI 2026
Scaling Laws for Code: A More Data-Hungry Regime ACL 2026
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026
Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective AAAI 2026
Scaling Law for Large Wireless Models AAAI 2026
Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation AAAI 2026
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning ACL 2026
Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design ACL 2026
Optimal L2 Regularization in High-dimensional Continual Linear Regression ALT 2026
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training ACL 2026
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models ACL 2026
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025
P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025
A Survey of Post-Training Scaling in Large Language Models ACL 2025
Scaling Laws for Multilingual Language Models ACL 2025
Low-Bit Quantization Favors Undertrained LLMs ACL 2025
Pitfalls of Scale: Investigating the Inverse Task of Redefinition in Large Language Models ACL 2025
Beyond Text Compression: Evaluating Tokenizers Across Scales ACL 2025
Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment AAAI 2025
Scaling Laws for Native Multimodal Models ICCV 2025
Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025
An Empirical Study of Autoregressive Pre-training from Videos ICCV 2025