Papers
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.
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Wei-Lin Chen, Cheng-Kuang Wu, Yun-Nung Chen et al.
Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation
Yusheng Liao, Shuyang Jiang, Yiqi Li et al.
Self-Influence Guided Data Reweighting for Language Model Pre-training
Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy et al.
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Yile Wang, Peng Li, Maosong Sun et al.
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong et al.
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Zhiheng Xi, Senjie Jin, Yuhao Zhou et al.
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning
Jinyuan Wang, Junlong Li, Hai Zhao
Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games
Ruoyao Wang, Peter Jansen
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
Kaihang Pan, Juncheng Li, Hongye Song et al.