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NAACL - 2024
Total Papers:- 668
Total Papers accross all years:- 6159
Total Citations :- 0
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Ghostbuster: Detecting Text Ghostwritten by Large Language Models
Vivek Verma |
Eve Fleisig |
Nicholas Tomlin |
Dan Klein |
Simple and effective data augmentation for compositional generalization
Yuekun Yao |
Alexander Koller |
Unknown Script: Impact of Script on Cross-Lingual Transfer
Wondimagegnhue Tufa |
Ilia Markov |
Piek Vossen |
Self-generated Replay Memories for Continual Neural Machine Translation
Michele Resta |
Davide Bacciu |
A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base
Hasti Toossi |
Guo Huai |
Jinyu Liu |
Eric Khiu |
A. Seza Doğruöz |
En-Shiun Lee |
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?
Kai Sun |
Yifan Xu |
Hanwen Zha |
Yue Liu |
Xin Luna Dong |
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
Ilias Chalkidis |
Stephanie Brandl |
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
Kotaro Aono |
Ryohei Sasano |
Koichi Takeda |
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)
Kai-Wei Chang |
Annie Lee |
Nazneen Rajani |
Coding Open-Ended Responses using Pseudo Response Generation by Large Language Models
Yuki Zenimoto |
Ryo Hasegawa |
Takehito Utsuro |
Masaharu Yoshioka |
Noriko Kando |
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
Tingyu Xie |
Qi Li |
Yan Zhang |
Zuozhu Liu |
Hongwei Wang |
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
Chenming Tang |
Fanyi Qu |
Yunfang Wu |
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
Weijia Shi |
Xiaochuang Han |
Mike Lewis |
Yulia Tsvetkov |
Luke Zettlemoyer |
Wen-tau Yih |
Fighting crime with Transformers: Empirical analysis of address parsing methods in payment data
Haitham Hammami |
Louis Baligand |
Bojan Petrovski |
Fine-Tuning Language Models with Reward Learning on Policy
Hao Lang |
Fei Huang |
Yongbin Li |
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