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Sameer Singh 0001
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Publications
- 2023
- [c113]Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) 2023: 13924-13950 - [i84]Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. CoRR abs/2305.14907 (2023) - 2022
- [c105]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) 2022: 5198-5215 - [c104]Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. EMNLP (Demos) 2022: 389-395 - [c103]Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) 2022: 840-854 - [c102]Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. EMNLP 2022: 1251-1265 - [c100]Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) 2022: 4966-4979 - [i72]Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR abs/2202.07206 (2022) - [i71]Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR abs/2203.08445 (2022) - [i70]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR abs/2204.05991 (2022) - [i63]Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. CoRR abs/2212.04092 (2022) - 2021
- [c95]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) 2021: 168-174 - [c91]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) 2021: 1801-1813 - [c90]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) 2021: 5774-5785 - [c89]Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) 2021: 7009-7015 - [c87]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) 2021: 7347-7357 - [i60]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR abs/2104.01759 (2021) - [i58]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR abs/2104.08646 (2021) - [i57]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. CoRR abs/2104.08735 (2021) - [i56]Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. CoRR abs/2104.08744 (2021) - [i50]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR abs/2107.05833 (2021) - 2020
- [c78]Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner:
Dynamic Sampling Strategies for Multi-Task Reading Comprehension. ACL 2020: 920-924 - [c77]Robert L. Logan IV, Matt Gardner, Sameer Singh:
On Importance Sampling-Based Evaluation of Latent Language Models. ACL 2020: 2171-2176 - [c75]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020: 5594-5608 - [c74]Dheeru Dua, Sameer Singh, Matt Gardner:
Benefits of Intermediate Annotations in Reading Comprehension. ACL 2020: 5627-5634 - [c70]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c69]Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. EMNLP (1) 2020: 6521-6532 - [c67]Eric Wallace, Matt Gardner, Sameer Singh:
Interpreting Predictions of NLP Models. EMNLP (Tutorial Abstracts) 2020: 20-23 - [c65]Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi:
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) 2020: 2112-2120 - [c63]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. ICLR 2020 - [i44]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i43]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR abs/2005.00724 (2020) - [i39]Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. CoRR abs/2010.03636 (2020) - [i37]Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi:
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR abs/2010.06000 (2020) - 2019
- [c60]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. ACL (1) 2019: 4249-4257 - [c59]Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh:
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) 2019: 5962-5971 - [c57]Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
Evaluating Question Answering Evaluation. MRQA@EMNLP 2019: 119-124 - [c56]Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner:
Comprehensive Multi-Dataset Evaluation of Reading Comprehension. MRQA@EMNLP 2019: 147-153 - [c54]Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) 2019: 7-12 - [c52]Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh:
Universal Adversarial Triggers for Attacking and Analyzing NLP. EMNLP/IJCNLP (1) 2019: 2153-2162 - [c51]Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner:
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. EMNLP/IJCNLP (1) 2019: 5306-5314 - [c47]Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) 2019: 2368-2378 - [i34]Sanjay Subramanian, Sameer Singh, Matt Gardner:
Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS 2019 - [i33]Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR abs/1903.00161 (2019) - [i30]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR abs/1906.02900 (2019) - [i29]Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh:
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR abs/1906.07241 (2019) - [i28]Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh:
Universal Adversarial Triggers for NLP. CoRR abs/1908.07125 (2019) - [i26]Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner:
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. CoRR abs/1909.07940 (2019) - [i25]Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR abs/1909.09251 (2019) - [i21]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. CoRR abs/1912.04971 (2019) - [i19]Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner:
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. CoRR abs/1912.12598 (2019)
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