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Add actual models

Browse files
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README.md CHANGED
@@ -1,3 +1,17 @@
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  ---
 
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  license: cc-by-sa-4.0
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language: en
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  license: cc-by-sa-4.0
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+ tags:
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+ - embeddings
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  ---
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+
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+ # Acquiring Bidirectionality via Large and Small Language Models
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+
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+ This model is LLM for obtaining token-level representations as proposed in our COLING 2025 paper "[Acquiring Bidirectionality via Large and Small Language Models](https://arxiv.org/abs/2408.09640)."
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+ Using token representation from bidirectional language models (LMs) such as BERT is still a widely used approach for token-classification tasks.
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+ Even though there exist much larger unidirectional LMs such as Llama-2, they are rarely used to replace the token representation of bidirectional LMs.
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+ We propose to newly train a small backward LM and concatenate its representations to those of an existing LM for downstream tasks.
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+
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+ This model is the "small backward LM" and it needs to be combined with another forward LM such as [GPT-2](https://huggingface.co/openai-community/gpt2).
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+ Please refer to our [official repository](https://github.com/hitachi-nlp/backward-llm) to use this model.
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+ This particular model uses GPT2 vocabulary for its training.
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