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EMNLP - 2023
Total Papers:- 1186
Total Papers accross all years:- 12236
Total Citations :- 0
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Investigating the Role and Impact of Disfluency on Summarization
Varun Nathan |
Ayush Kumar |
Jithendra Vepa |
Exploring Discourse Structure in Document-level Machine Translation
Xinyu Hu |
Xiaojun Wan |
Text Embeddings Reveal (Almost) As Much As Text
John Morris |
Volodymyr Kuleshov |
Vitaly Shmatikov |
Alexander Rush |
Semantic Similarity Models for Depression Severity Estimation
Anxo PĂ©rez |
Neha Warikoo |
Kexin Wang |
Javier Parapar |
Iryna Gurevych |
ClusterLLM: Large Language Models as a Guide for Text Clustering
Yuwei Zhang |
Zihan Wang |
Jingbo Shang |
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning
Sen Yang |
Xin Li |
Lidong Bing |
Wai Lam |
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters
Vipul Rathore |
Rajdeep Dhingra |
Parag Singla |
Mausam |
Reasoning with Language Model is Planning with World Model
Shibo Hao |
Yi Gu |
Haodi Ma |
Joshua Hong |
Zhen Wang |
Daisy Wang |
Zhiting Hu |
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
Jan Cegin |
Jakub Simko |
Peter Brusilovsky |
EDIS: Entity-Driven Image Search over Multimodal Web Content
Siqi Liu |
Weixi Feng |
Tsu-Jui Fu |
Wenhu Chen |
William Wang |
Gatekeeper to save COGS and improve efficiency of Text Prediction
Nidhi Tiwari |
Sneha Kola |
Milos Milunovic |
Si-qing Chen |
Marjan Slavkovski |
Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task
Chunhui Du |
Jidong Tian |
Haoran Liao |
Jindou Chen |
Hao He |
Yaohui Jin |
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values
Hannah Kirk |
Andrew Bean |
Bertie Vidgen |
Paul Rottger |
Scott Hale |
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Eve Fleisig |
Rediet Abebe |
Dan Klein |
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent
Guangliang Liu |
Zhiyu Xue |
Xitong Zhang |
Kristen Johnson |
Rongrong Wang |
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