Language Modeling Comparison Hub
4 papers - avg viability 4.5
Top Papers
- One-step Language Modeling via Continuous Denoising(7.0)
Accelerate language model generation with a flow-based denoising approach outperforming discrete diffusion in both speed and quality.
- Addressing the Ecological Fallacy in Larger LMs with Human Context(5.0)
Develop a context-aware language model to improve text inference by leveraging author-specific language patterns.
- Ensembling Language Models with Sequential Monte Carlo(3.0)
Develop a framework for ensemble language model distribution using byte-level Sequential Monte Carlo for improved structured text generation.
- Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing(3.0)
A novel routing mechanism for autoregressive language models that optimizes computation allocation and load balancing.