( en | de | ru )

 

Disambiguation of "Iyer, Srinivasan"

Author of the publication

copydeleteadd this publication to your clipboard
Complementary Explanations for Effective In-Context Learning.

, , , , , and . ACL (Findings), page 4469-4484. Association for Computational Linguistics, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Balasubramaniam Iyer

Preeti Ramesh Iyer

Balasubramaniam Iyer

Chandrasekhar Iyer

Vishwanath Iyer

 

Other publications of authors with the same name

Efficient Large Scale Language Modeling with Mixtures of Experts, , , , , , , , , and 14 other author(s). (2021)cite arxiv:2112.10684Comment: EMNLP 2022.Complementary Explanations for Effective In-Context Learning., , , , , and . ACL (Findings), page 4469-4484. Association for Computational Linguistics, (2023)Efficient Job Division for Grids Running SIMD Algorithms., and . IC3 (1), volume 94 of Communications in Computer and Information Science, page 253-264. Springer, (2010)QUASER: Question Answering with Scalable Extractive Rationalization., , , , , and . SIGIR, page 1208-1218. ACM, (2022)Efficient Large Scale Language Modeling with Mixtures of Experts., , , , , , , , , and 14 other author(s). EMNLP, page 11699-11732. Association for Computational Linguistics, (2022)DeLighT: Deep and Light-weight Transformer., , , , and . ICLR, OpenReview.net, (2021)Learning to Map Natural Language to General Purpose Source Code.. University of Washington, USA, (2019)Learning Programmatic Idioms for Scalable Semantic Parsing., , and . EMNLP/IJCNLP (1), page 5425-5434. Association for Computational Linguistics, (2019)Efficient One-Pass End-to-End Entity Linking for Questions., , , , and . EMNLP (1), page 6433-6441. Association for Computational Linguistics, (2020)RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering., , , and . NAACL-HLT, page 1280-1287. Association for Computational Linguistics, (2021)