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Papers

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Adapter Pruning using Tropical Characterization
Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria
2023 EMNLP
2023 EMNLP
Adapting Language Models to Compress Contexts
Alexis Chevalier, Alexander Wettig, Anirudh Ajith et al.
2023 EMNLP
Adapting Pre-trained Generative Models for Extractive Question Answering
Prabir Mallick, Tapas Nayak, Indrajit Bhattacharya
2023 EMNLP
Adapting Pretrained Text-to-Text Models for Long Text Sequences
Wenhan Xiong, Anchit Gupta, Shubham Toshniwal et al.
2023 EMNLP
Adaptive Gating in Mixture-of-Experts based Language Models
Jiamin Li, Qiang Su, Yitao Yang et al.
2023 EMNLP
2023 EMNLP
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval
Mingming Li, Chunyuan Yuan, Huimu Wang et al.
2023 EMNLP
2023 EMNLP
Adaptive Textual Label Noise Learning based on Pre-trained Models
Shaohuan Cheng, Wenyu Chen, Fu Mingsheng et al.
2023 EMNLP
2023 EMNLP
2023 EMNLP
2023 EMNLP
2023 EMNLP
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
Aniket Pramanick, Yufang Hou, Saif Mohammad et al.
2023 EMNLP
A Diachronic Perspective on User Trust in AI under Uncertainty
Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady et al.
2023 EMNLP
A Diffusion Weighted Graph Framework for New Intent Discovery
Wenkai Shi, Wenbin An, Feng Tian et al.
2023 EMNLP