Srinivasan Iyer

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 33

Top Topics

Question Answering

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP (2022)
Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad
QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR (2022)
Badr AlKhamissi, Faisal Ladhak, Srinivasan Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. EMNLP (2022)
Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR (2022)
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru
Complementary Explanations for Effective In-Context Learning. CoRR (2022)
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
DeLighT: Deep and Light-weight Transformer. ICLR (2021)
Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. CoRR (2021)
Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations. ACL/IJCNLP (Findings) (2021)
Ying Fu, Tom Yager, George Chikvaidze, Srinivasan Iyer, Qin Wang
Time-Resolved FDTD and Experimental FTIR Study of Gold Micropatch Arrays for Wavelength-Selective Mid-Infrared Optical Coupling. Sensors 21 (15) (2021)
Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT (2021)
Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad
EASE: Extractive-Abstractive Summarization with Explanations. CoRR (2021)
Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR (2021)
Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR (2020)
Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA. CoRR (2020)
Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
Efficient One-Pass End-to-End Entity Linking for Questions. CoRR (2020)
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR (2020)
Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) (2020)
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
DeLighT: Very Deep and Light-weight Transformer. CoRR (2020)
Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR (2020)
Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. EMNLP/IJCNLP (1) (2019)
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer
Learning Programmatic Idioms for Scalable Semantic Parsing. CoRR (2019)
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer
Learning Programmatic Idioms for Scalable Semantic Parsing. EMNLP/IJCNLP (1) (2019)
Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. CoRR (2019)
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer
Mapping Language to Code in Programmatic Context. EMNLP (2018)
Alane Suhr, Srinivasan Iyer, Yoav Artzi
Learning to Map Context-Dependent Sentences to Executable Formal Queries. NAACL-HLT (2018)
Alane Suhr, Srinivasan Iyer, Yoav Artzi
Learning to Map Context-Dependent Sentences to Executable Formal Queries. CoRR (2018)
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer
Mapping Language to Code in Programmatic Context. CoRR (2018)
Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer
Neural Semantic Parsing. ACL (5) (2018)
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer
Learning a Neural Semantic Parser from User Feedback. ACL (1) (2017)
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. CoRR (2017)
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer
Learning a Neural Semantic Parser from User Feedback. CoRR (2017)
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. ACL (1) (2017)
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer
Summarizing Source Code using a Neural Attention Model. ACL (1) (2016)
Kenneth Jung, Paea LePendu, Srinivasan Iyer, Anna Bauer-Mehren, Bethany Percha, Nigam H. Shah
Functional evaluation of out-of-the-box text-mining tools for data-mining tasks. J. Am. Medical Informatics Assoc. 22 (1) (2015)
Sandy Huang, Paea LePendu, Srinivasan Iyer, Ming Tai-Seale, David Carrell, Nigam H. Shah
Toward personalizing treatment for depression: predicting diagnosis and severity. J. Am. Medical Informatics Assoc. 21 (6) (2014)
Srinivasan Iyer, Rave Harpaz, Paea LePendu, Anna Bauer-Mehren, Nigam H. Shah
Mining clinical text for signals of adverse drug-drug interactions. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Sandy Huang, Paea LePendu, Srinivasan Iyer, Ming Tai-Seale, David Carrell, Nigam Shah
Predictive Models in Mental Health: From Diagnosis to Treatment. AMIA (2013)
Nigam Shah, Paea LePendu, Anna Bauer-Mehren, Srinivasan Iyer, Kenneth Jung, Tyler Cole, Rave Harpaz
Learning Practice-based Evidence from Unstructured Clinical Notes. AMIA (2013)
Paea LePendu, Srinivasan Iyer, Cédrick Fairon, Nigam H. Shah
Annotation Analysis for Testing Drug Safety Signals using Unstructured Clinical Notes. J. Biomed. Semant. 3 (S-1) (2012)
Ashish Kurmi, Srinivasan Iyer
Efficient Job Division for Grids Running SIMD Algorithms. IC3 (1) (2010)
Bhavani M. Thuraisingham, Srinivasan Iyer
Extended RBAC - Based Design and Implementation for a Secure Data Warehouse. ARES (2007)
Bhavani M. Thuraisingham, Murat Kantarcioglu, Srinivasan Iyer
Extended RBAC-based design and implementation for a secure data warehouse. Int. J. Bus. Intell. Data Min. 2 (4) (2007)
Srinivasan Iyer, Bhavani M. Thuraisingham
Design and Simulation of Trust Management Techniques for a Coalition Data Sharing Environment. FTDCS (2007)