Papers
680 papers found
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
Gabriel Simmons, Vladislav Savinov
Active Example Selection for In-Context Learning
Yiming Zhang, Shi Feng, Chenhao Tan
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman et al.
In-Context Learning for Few-Shot Dialogue State Tracking
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie et al.
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye, Jiahui Gao, Zhiyong Wu et al.
Controllable Dialogue Simulation with In-context Learning
Zekun Li, Wenhu Chen, Shiyang Li et al.
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington et al.
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing
Peng Shi, Rui Zhang, He Bai et al.
On the Compositional Generalization Gap of In-Context Learning
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau et al.
Towards In-Context Non-Expert Evaluation of Reflection Generation for Counselling Conversations
Zixiu Wu, Simone Balloccu, Rim Helaoui et al.
GiCCS: A German in-Context Conversational Similarity Benchmark
Shima Asaadi, Zahra Kolagar, Alina Liebel et al.
Towards Few-Shot Identification of Morality Frames using In-Context Learning
Shamik Roy, Nishanth Sridhar Nakshatri, Dan Goldwasser
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin et al.
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
GPT-RE: In-context Learning for Relation Extraction using Large Language Models
Zhen Wan, Fei Cheng, Zhuoyuan Mao et al.
Can We Edit Factual Knowledge by In-Context Learning?
Ce Zheng, Lei Li, Qingxiu Dong et al.
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
Zhao Yang, Yuanzhe Zhang, Dianbo Sui et al.
MT2: Towards a Multi-Task Machine Translation Model with Translation-Specific In-Context Learning
Chunyou Li, Mingtong Liu, Hongxiao Zhang et al.
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts
Jiashu Pu, Ling Cheng, Lu Fan et al.
Skill-Based Few-Shot Selection for In-Context Learning
Shengnan An, Bo Zhou, Zeqi Lin et al.
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet, Manon Reusens, Philipp Borchert et al.
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Wei-Lin Chen, Cheng-Kuang Wu, Yun-Nung Chen et al.
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
Ruoxi Sun, Sercan Arik, Rajarishi Sinha et al.
In-Context Demonstration Selection with Cross Entropy Difference
Dan Iter, Reid Pryzant, Ruochen Xu et al.