Tag: language modeling
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Semantic Structures Boost Neuro-Symbolic Language Models
Explore how semantic constituency structures enhance neuro-symbolic language modeling, outperforming syntactic and dependency frameworks in NLP research.
TernaryLM: Efficient 1.5-Bit Quantized Language Model
Discover TernaryLM, a memory-efficient language model using native 1.5-bit quantization and adaptive layer-wise scaling for superior NLP performance.
Efficient Diffusion Language Models via Deletion-Insertion
Discover Deletion-Insertion Diffusion models that boost efficiency and flexibility in language modeling beyond traditional masked methods.