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EMNLP - 2023
Total Papers:- 1186
Total Papers accross all years:- 12236
Total Citations :- 0
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Are Compressed Language Models Less Subgroup Robust?
Leonidas Gee |
Andrea Zugarini |
Novi Quadrianto |
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision
Wenting Zhao |
Justin Chiu |
Claire Cardie |
Alexander Rush |
“Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack
Christopher Burger |
Lingwei Chen |
Thai Le |
Unveiling Identity Biases in Toxicity Detection : A Game-Focused Dataset and Reactivity Analysis Approach
Josiane Van Dorpe |
Zachary Yang |
Nicolas Grenon-Godbout |
Grégoire Winterstein |
MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation
Boning Zhang |
Yang Yang |
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
Namrata Shivagunde |
Vladislav Lialin |
Anna Rumshisky |
Query-as-context Pre-training for Dense Passage Retrieval
Xing W |
Guangyuan Ma |
Wanhui Qian |
Zijia Lin |
Songlin Hu |
evision PDF of 'An Investigation of LLMs’ Inefficacy in Understanding Converse Relations
Chengwen Qi |
Bowen Li |
Binyuan Hui |
Bailin Wang |
Jinyang Li |
Jinwang Wu |
Yuanjun Laili |
Bridging Background Knowledge Gaps in Translation with Automatic Explicitation
HyoJung Han |
Jordan Boyd-Graber |
Marine Carpuat |
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
Zihao Fu |
Yixuan Su |
Zaiqiao Meng |
Nigel Collier |
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding
Caoyun Fan |
Jidong Tian |
Yitian Li |
Wenqing Chen |
Hao He |
Yaohui Jin |
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
Praveen Venkateswaran |
Evelyn Duesterwald |
Vatche Isahagian |
TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
Hans Hanley |
Zakir Durumeric |
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul |
Adian Liusie |
Mark Gales |
Learning from Mistakes via Cooperative Study Assistant for Large Language Models
Danqing Wang |
Lei Li |
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