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Found 6 papers, 2 papers with code
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information
Context-aware neural machine translation (NMT) incorporates contextual information of surrounding texts, that can improve the translation quality of document-level machine translation.
Modality Alignment between Deep Representations for Effective Video-and-Language Learning
Our method directly optimizes CKA to make an alignment between video and text embedding representations, hence it aids the cross-modality attention module to combine information over different modalities.
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
We propose ListT5, a novel reranking approach based on Fusion-in-Decoder (FiD) that handles multiple candidate passages at both train and inference time.
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
Vulnerability to lexical perturbation is a critical weakness of automatic evaluation metrics for image captioning.
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
In this paper, we present our finding that prepending a Task-Agnostic Prefix Prompt (TAPP) to the input improves the instruction-following ability of various Large Language Models (LLMs) during inference.
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
In this paper, we propose an efficient transfer leaning methods for training a personalized language model using a recurrent neural network with long short-term memory architecture.
