conftrace_

sequence-to-sequence transformer

10 papers

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Co-occurring keywords · papers mentioning both

intermediate supervision (1) denoising pretraining (1) adverse drug event (1) pretrained generative model (1) language modelling loss (1) instruction understanding (1) listwise approach (1) document context (1) adverse drug event extraction (1) drug safety surveillance (1)

Papers

Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation COLING 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 ADEQA: A Question Answer based approach for joint ADE-Suspect Extraction using Sequence-To-Sequence Transformers ACL 2023 Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? ACL 2023 Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding Interspeech 2023 DENTRA: Denoising and Translation Pre-training for Multilingual Machine Translation EMNLP 2022 Diverse Pretrained Context Encodings Improve Document Translation ACL 2021 Exploring Listwise Evidence Reasoning with T5 for Fact Verification ACL 2021 Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing EMNLP 2021 Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models EMNLP 2021