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ACL - 2023
Total Papers:- 1254
Total Papers accross all years:- 14093
Total Citations :- 0
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Query-Efficient Black-Box Red Teaming via Bayesian Optimization
Deokjae Lee |
JunYeong Lee |
Jung-Woo Ha |
Jin-Hwa Kim |
Sang-Woo Lee |
Hwaran Lee |
Hyun Oh Song |
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions
Mayur Patidar |
Prayushi Faldu |
Avinash Singh |
Lovekesh Vig |
Indrajit Bhattacharya |
Mausam |
Environmental Claim Detection
Dominik Stammbach |
Nicolas Webersinke |
Julia Bingler |
Mathias Kraus |
Markus Leippold |
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
Albert Xu |
Xiang Ren |
Robin Jia |
Measuring the Effect of Influential Messages on Varying Personas
Chenkai Sun |
Jinning Li |
Hou Pong Chan |
ChengXiang Zhai |
Heng Ji |
The CRINGE Loss: Learning what language not to model
Leonard Adolphs |
Tianyu Gao |
Jing Xu |
Kurt Shuster |
Sainbayar Sukhbaatar |
Jason Weston |
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
Fanghua Ye |
Zhiyuan Hu |
Emine Yilmaz |
Gloss-Free End-to-End Sign Language Translation
Kezhou Lin |
Xiaohan Wang |
Linchao Zhu |
Ke Sun |
Bang Zhang |
Yi Yang |
Evaluating Paraphrastic Robustness in Textual Entailment Models
Dhruv Verma |
Yash Kumar Lal |
Shreyashee Sinha |
Benjamin Van Durme |
Adam Poliak |
Extrinsic Evaluation of Machine Translation Metrics
Nikita Moghe |
Tom Sherborne |
Mark Steedman |
Alexandra Birch |
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
Ariel Gera |
Roni Friedman |
Ofir Arviv |
Chulaka Gunasekara |
Benjamin Sznajder |
Noam Slonim |
Eyal Shnarch |
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
Zahra Fatemi |
Chen Xing |
Wenhao Liu |
Caimming Xiong |
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
Xiaohang Tang |
Yi Zhou |
Danushka Bollegala |
Product Question Answering in E-Commerce: A Survey
Yang Deng |
Wenxuan Zhang |
Qian Yu |
Wai Lam |
Learning to Imagine: Visually-Augmented Natural Language Generation
Tianyi Tang |
Yushuo Chen |
Yifan Du |
Junyi Li |
Wayne Xin Zhao |
Ji-Rong Wen |
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