Papers
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
Amanpreet Singh, Mike D’Arcy, Arman Cohan et al.
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
Xinyuan Lu, Liangming Pan, Qian Liu et al.
Score_IsAll_You_Need at BLP-2023 Task 1: A Hierarchical Classification Approach to Detect Violence Inciting Text using Transformers
Kawsar Ahmed, Md Osama, Md. Sirajul Islam et al.
SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes
Adam Lelkes, Eric Loreaux, Tal Schuster et al.
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann et al.
SEA-LION (Southeast Asian Languages In One Network): A Family of Southeast Asian Language Models
David Ong, Peerat Limkonchotiwat
Search Augmented Instruction Learning
Hongyin Luo, Tianhua Zhang, Yung-Sung Chuang et al.
Security Challenges in Natural Language Processing Models
Qiongkai Xu, Xuanli He
Seeing through the mess: evolutionary dynamics of lexical polysemy
Andreas Baumann, Andreas Stephan, Benjamin Roth
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet, Manon Reusens, Philipp Borchert et al.
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Ioannis Tsiamas, José A. R. Fonollosa, Marta R. Costa-jussà
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
Yinghan Long, Sayeed Chowdhury, Kaushik Roy
Selecting Key Views for Zero-Shot Entity Linking
Xuhui Sui, Ying Zhang, Kehui Song et al.
Selective Demonstrations for Cross-domain Text-to-SQL
Shuaichen Chang, Eric Fosler-Lussier
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models
Yichao Zhou, James Bradley Wendt, Navneet Potti et al.
Selectively Answering Ambiguous Questions
Jeremy Cole, Michael Zhang, Daniel Gillick et al.
SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
Maharaj Brahma, Kaushal Maurya, Maunendra Desarkar
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations
Minh-Quang Pham, Sathish Indurthi, Shamil Chollampatt et al.
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul, Adian Liusie, Mark Gales
Self-Consistency of Large Language Models under Ambiguity
Henning Bartsch, Ole Jorgensen, Domenic Rosati et al.
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness
Xiaoyu Tan, Shaojie Shi, Xihe Qiu et al.
Self-Detoxifying Language Models via Toxification Reversal
Chak Tou Leong, Yi Cheng, Jiashuo Wang et al.
Self-distilled Transitive Instance Weighting for Denoised Distantly Supervised Relation Extraction
Xiangyu Lin, Weijia Jia, Zhiguo Gong
Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding
Ryota Miyano, Tomoyuki Kajiwara, Yuki Arase
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Haoqi Zheng, Qihuang Zhong, Liang Ding et al.