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Found 3 papers, 2 papers with code
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Recent models for unsupervised representation learning of text have employed a number of techniques to improve contextual word representations but have put little focus on discourse-level representations.
VALAN: Vision and Language Agent Navigation
VALAN is a lightweight and scalable software framework for deep reinforcement learning based on the SEED RL architecture.
Learning Dense Representations for Entity Retrieval
We show that it is feasible to perform entity linking by training a dual encoder (two-tower) model that encodes mentions and entities in the same dense vector space, where candidate entities are retrieved by approximate nearest neighbor search.
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