Sameer Singh

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 178

Top Venues

Publications

Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. CoRR (2024)
Preethi Seshadri, Sameer Singh, Yanai Elazar
The Bias Amplification Paradox in Text-to-Image Generation. NAACL-HLT (2024)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. NAACL-HLT (2024)
Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth
Perceptions of Linguistic Uncertainty by Language Models and Humans. CoRR (2024)
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge
What's In My Big Data? ICLR (2024)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. CoRR (2024)
Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh
Are Models Biased on Text without Gender-related Language? CoRR (2024)
Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh
Are Models Biased on Text without Gender-related Language? ICLR (2024)
Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR (2024)
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge
What's In My Big Data? CoRR (2023)
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. CoRR (2023)
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué
Maestro: A Gamified Platform for Teaching AI Robustness. CoRR (2023)
Elena Kochkina, Tamanna Hossain, Robert L. Logan IV, Miguel Arana-Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata
Evaluating the generalisability of neural rumour verification models. Inf. Process. Manag. 60 (1) (2023)
Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. CoRR (2023)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. CoRR (2023)
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
Factual and Informative Review Generation for Explainable Recommendation. AAAI (2023)
Preethi Seshadri, Sameer Singh, Yanai Elazar
The Bias Amplification Paradox in Text-to-Image Generation. CoRR (2023)
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. ACL (1) (2023)
Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions. CoRR (2023)
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. ICML (2023)
Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro
ART: Automatic multi-step reasoning and tool-use for large language models. CoRR (2023)
Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
Post Hoc Explanations of Language Models Can Improve Language Models. NeurIPS (2023)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. ACL (1) (2023)
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué
Maestro: A Gamified Platform for Teaching AI Robustness. AAAI (2023)
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. CoRR (2023)
Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh
Explaining machine learning models with interactive natural language conversations using TalkToModel. Nat. Mac. Intell. 5 (8) (2023)
Dylan Slack, Sameer Singh
TABLET: Learning From Instructions For Tabular Data. CoRR (2023)
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué
Design Factors of Maestro: A Serious Game for Robust AI Education. SIGCSE (2) (2023)
Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR (2023)
Shivanshu Gupta, Matt Gardner, Sameer Singh
Coverage-based Example Selection for In-Context Learning. CoRR (2023)
Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
Post Hoc Explanations of Language Models Can Improve Language Models. CoRR (2023)
Shivanshu Gupta, Matt Gardner, Sameer Singh
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) (2023)
Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) (2022)
Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR (2022)
Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh
Quantifying Social Biases Using Templates is Unreliable. CoRR (2022)
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. WoWMoM (2022)
Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy
Continued Pretraining for Better Zero- and Few-Shot Promptability. CoRR (2022)
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) (2022)
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
Successive Prompting for Decomposing Complex Questions. EMNLP (2022)
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
PYLON: A PyTorch Framework for Learning with Constraints. AAAI (2022)
Shivanshu Gupta, Sameer Singh, Matt Gardner
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR (2022)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) (2022)
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. CoRR (2022)
Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR (2022)
Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT (2022)
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. CoRR (2022)
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)
Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh
TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues. CoRR (2022)
Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy
Continued Pretraining for Better Zero- and Few-Shot Promptability. EMNLP (2022)
Shivanshu Gupta, Sameer Singh, Matt Gardner
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) (2022)
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
Successive Prompting for Decomposing Complex Questions. CoRR (2022)
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT (2022)
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)
Sanjay Subramanian, Will Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR (2022)
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. ACL/IJCNLP (1) (2021)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) (2021)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
Learning with Instance Bundles for Reading Comprehension. CoRR (2021)
Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR (2021)
Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh
Concealed Data Poisoning Attacks on NLP Models. NAACL-HLT (2021)
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) (2021)
Nitish Gupta, Sameer Singh, Matt Gardner
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) (2021)
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
FRUIT: Faithfully Reflecting Updated Information in Text. CoRR (2021)
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
Calibrate Before Use: Improving Few-shot Performance of Language Models. ICML (2021)
Dylan Slack, Anna Hilgard, Sameer Singh, Himabindu Lakkaraju
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability. NeurIPS (2021)
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT (2021)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR (2021)
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)
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh
Entity-Based Knowledge Conflicts in Question Answering. CoRR (2021)
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
Improved Consistency Regularization for GANs. AAAI (2021)
Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju, Sameer Singh
Counterfactual Explanations Can Be Manipulated. CoRR (2021)
Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, Sameer Singh
Counterfactual Explanations Can Be Manipulated. NeurIPS (2021)
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. CoRR (2021)
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR (2021)
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)
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 (2021)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) (2021)
Nitish Gupta, Sameer Singh, Matt Gardner
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR (2021)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR (2021)
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh
Entity-Based Knowledge Conflicts in Question Answering. EMNLP (1) (2021)
Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju
Feature Attributions and Counterfactual Explanations Can Be Manipulated. CoRR (2021)
Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
Calibrate Before Use: Improving Few-Shot Performance of Language Models. CoRR (2021)
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 (2021)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI (2021)
Robert L. Logan IV, Andrew McCallum, Sameer Singh, Daniel M. Bikel
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference. ACL/IJCNLP (1) (2021)
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
Combining Feature and Instance Attribution to Detect Artifacts. CoRR (2021)
Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution. ICLR (2020)
Sameer Singh
Minecraft as a Platform for Project-Based Learning in AI. AAAI (2020)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR (2020)
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)
Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh
Gradient-based Analysis of NLP Models is Manipulable. CoRR (2020)
Robert L. Logan IV, Matt Gardner, Sameer Singh
On Importance Sampling-Based Evaluation of Latent Language Models. ACL (2020)
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
Improved Consistency Regularization for GANs. CoRR (2020)
Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. IEEE Access 8 (2020)
Pouya Pezeshkpour, Yifan Tian, Sameer Singh
Revisiting Evaluation of Knowledge Base Completion Models. AKBC (2020)
Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh
Gradient-based Analysis of NLP Models is Manipulable. EMNLP (Findings) (2020)
Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh
COVIDLies: Detecting COVID-19 Misinformation on Social Media. NLP4COVID@EMNLP (2020)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. CoRR (2020)
Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations. CoRR (2020)
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 (2020)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. EMNLP (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sameer Singh