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EMNLP - 2023
Total Papers:- 1186
Total Papers accross all years:- 12236
Total Citations :- 0
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Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Clifton Poth |
Hannah Sterz |
Indraneil Paul |
Sukannya Purkayastha |
Leon Engländer |
Timo Imhof |
Ivan Vulić |
Sebastian Ruder |
Iryna Gurevych |
Jonas Pfeiffer |
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios
Yilun Zhao |
Haowei Zhang |
Shengyun Si |
Linyong Nan |
Xiangru Tang |
Arman Cohan |
Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Pranjal Aggarwal |
Aman Madaan |
Yiming Yang |
Mausam |
Learning Preference Model for LLMs via Automatic Preference Data Generation
Shijia Huang |
Jianqiao Zhao |
Yanyang Li |
Liwei Wang |
Controlling Pre-trained Language Models for Grade-Specific Text Simplification
Sweta Agrawal |
Marine Carpuat |
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis
Tingfeng Cao |
Chengyu Wang |
Bingyan Liu |
Ziheng Wu |
Jinhui Zhu |
Jun Huang |
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams
Yuhao Wu |
Karthick Sharma |
Chun Seah |
Shuhao Zhang |
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
Yatin Nandwani |
Vineet Kumar |
Dinesh Raghu |
Sachindra Joshi |
Luis Lastras |
DELPHI: Data for Evaluating LLMs’ Performance in Handling Controversial Issues
David Sun |
Artem Abzaliev |
Hadas Kotek |
Christopher Klein |
Zidi Xiu |
Jason Williams |
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
Haoyu Zhang |
Yu Wang |
Guanghao Yin |
Kejun Liu |
Yuanyuan Liu |
Tianshu Yu |
Discovering Universal Geometry in Embeddings with ICA
Hiroaki Yamagiwa |
Momose Oyama |
Hidetoshi Shimodaira |
Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs
Souvika Sarkar |
Dongji Feng |
Shubhra Kanti Karmaker Santu |
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
Quanyu Long |
Wenya Wang |
Sinno Pan |
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer
Ruize Gao |
Zhirui Zhang |
Yichao Du |
Lemao Liu |
Rui Wang |
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
Chong Li |
Shaonan Wang |
Yunhao Zhang |
Jiajun Zhang |
Chengqing Zong |
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