Srinivasan Iyer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
6
Active years
2016–2023
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | Complementary Explanations for Effective In-Context Learning. | Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru |
| 2023 | EACL | Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. | Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer |
| 2022 | EMNLP | Efficient Large Scale Language Modeling with Mixtures of Experts. | 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 |
| 2022 | SIGIR | QUASER: Question Answering with Scalable Extractive Rationalization. | Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad |
| 2021 | ACL | Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations. | Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer |
| 2021 | ICLR | DeLighT: Deep and Light-weight Transformer. | Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2021 | NAACL | RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. | Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih |
| 2020 | EMNLP | Efficient One-Pass End-to-End Entity Linking for Questions. | Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih |
| 2019 | EMNLP | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer |
| 2019 | EMNLP | Learning Programmatic Idioms for Scalable Semantic Parsing. | Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer |
| 2018 | ACL | Neural Semantic Parsing. | Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer |
| 2018 | EMNLP | Mapping Language to Code in Programmatic Context. | Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer |
| 2018 | NAACL | Learning to Map Context-Dependent Sentences to Executable Formal Queries. | Alane Suhr, Srinivasan Iyer, Yoav Artzi |
| 2017 | ACL | Learning a Neural Semantic Parser from User Feedback. | Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer |
| 2017 | ACL | Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. | Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer |
| 2016 | ACL | Summarizing Source Code using a Neural Attention Model. | Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer |