Singh, Sameer
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier
2016/02/16 by Marco Túlio Ribeiro, Marco Tulio Ribeiro, Ribeiro, Marco Tulio +4 · 5 voices · 609 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.LG #stat.ML
- DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
2019/03/01 by Dheeru Dua, Yizhong Wang, Dua, Dheeru +9 · 2 voices · 146 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL
- Calibrate Before Use: Improving Few-Shot Performance of Language Models
2021/02/19 by Tony Z. Zhao, Eric Wallace, Zhao, Tony Z. +7 · 2 voices · 155 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
- Universal Adversarial Triggers for Attacking and Analyzing NLP
2019/08/20 by Wallace, Eric, Feng, Shi, Kandpal, Nikhil +2 · 79 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation\n Methods
2019/11/06 by Dylan Slack, Sophie Hilgard, Slack, Dylan +7 · 44 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Model-Agnostic Interpretability of Machine Learning
2016/06/16 by Marco Túlio Ribeiro, Sameer Singh, Ribeiro, Marco Tulio +3 · 44 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Entity-Based Knowledge Conflicts in Question Answering
2021/09/10 by Longpre, Shayne, Perisetla, Kartik, Chen, Anthony +3 · 41 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- What's In My Big Data?
2023/10/31 by Yanai Elazar, Elazar, Yanai, Akshita Bhagia +23 · 3 voices · 14 citations
Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL #cs.LG
- AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
2020/10/29 by Taylor Shin, Yasaman Razeghi, Shin, Taylor +7 · 22 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining
- ART: Automatic multi-step reasoning and tool-use for large language models
2023/03/16 by Bhargavi Paranjape, Scott Lundberg, Paranjape, Bhargavi +9 · 22 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
2020/08/11 by Dylan Slack, Sophie Hilgard, Slack, Dylan +5 · 14 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning
- The Bias Amplification Paradox in Text-to-Image Generation
2023/08/01 by Preethi Seshadri, Sameer Singh, Seshadri, Preethi +3 · 19 citations
Computer Science · Psychology · Social Sciences · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Educational Games and Gamification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #Wikis in Education and Collaboration
- TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
2022/07/08 by Dylan Slack, Satyapriya Krishna, Slack, Dylan +5 · 14 citations
Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education #Topic Modeling
- Do NLP Models Know Numbers? Probing Numeracy in Embeddings
2019/09/17 by Wallace, Eric, Wang, Yizhong, Li, Sujian +2 · 10 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- MedICaT: A Dataset of Medical Images, Captions, and Textual References
2020/10/12 by Subramanian, Sanjay, Wang, Lucy Lu, Mehta, Sachin +6 · 11 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Knowledge Enhanced Contextual Word Representations
2019/09/09 by Matthew E. Peters, Peters, Matthew E., Mark E Neumann +11 · 9 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Generating Natural Adversarial Examples
2017/10/31 by Zhao, Zhengli, Dua, Dheeru, Singh, Sameer · 8 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Impact of Pretraining Term Frequencies on Few-Shot Reasoning
2022/02/15 by Yasaman Razeghi, Razeghi, Yasaman, Robert L. Logan +5 · 12 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Explain Your Move: Understanding Agent Actions Using Specific and\n Relevant Feature Attribution
2019/12/23 by Nikaash Puri, Puri, Nikaash, Sukriti Verma +11 · 10 citations
Computer Science · #Advanced Text Analysis Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics
- Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
2023/01/28 by Kolby Nottingham, Nottingham, Kolby, Prithviraj Ammanabrolu +11 · 13 citations
Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Topic Modeling
- ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
2022/04/12 by Sanjay Subramanian, William Merrill, Subramanian, Sanjay +9 · 10 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Speech and dialogue systems
- Compositional Questions Do Not Necessitate Multi-hop Reasoning
2019/06/07 by Sewon Min, Eric Wallace, Min, Sewon +9 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval and Search Behavior #Natural Language Processing Techniques #Topic Modeling
- Coverage-based Example Selection for In-Context Learning
2023/05/24 by Gupta, Shivanshu, Gardner, Matt, Singh, Sameer · 12 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Successive Prompting for Decomposing Complex Questions
2022/12/08 by Dua, Dheeru, Gupta, Shivanshu, Singh, Sameer +1 · 10 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Post Hoc Explanations of Language Models Can Improve Language Models
2023/05/19 by Satyapriya, Krishna, Satyapriya, Jiaqi Ma +9 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Counterfactual Explanations Can Be Manipulated
2021/06/04 by Dylan Slack, Slack, Dylan, Sophie Hilgard +5 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
- Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
2021/06/24 by Robert L. Logan, Logan, Robert L., Ivana Balažević +9 · 7 citations
Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
- Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
2019/05/02 by Pezeshkpour, Pouya, Tian, Yifan, Singh, Sameer · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- TABLET: Learning From Instructions For Tabular Data
2023/04/25 by Dylan Slack, Sameer Singh, Slack, Dylan +1 · 6 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Rethinking Explainability as a Dialogue: A Practitioner's Perspective
2022/02/03 by Himabindu Lakkaraju, Dylan Slack, Lakkaraju, Himabindu +7 · 5 citations
Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- MISGENDERED: Limits of Large Language Models in Understanding Pronouns
2023/06/06 by Tamanna Hossain, Hossain, Tamanna, Sunipa Dev +3 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Text Readability and Simplification
- Competency Problems: On Finding and Removing Artifacts in Language Data
2021/04/17 by Matt Gardner, Gardner, Matt, William Merrill +11 · 4 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
2023/05/24 by Anthony Chen, Chen, Anthony, Panupong Pasupat +7 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
- Combining Feature and Instance Attribution to Detect Artifacts
2021/07/01 by Pouya Pezeshkpour, Sarthak Jain, Pezeshkpour, Pouya +5 · 4 citations
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Topic Modeling
- Quantifying Social Biases Using Templates is Unreliable
2022/10/09 by Preethi Seshadri, Pouya Pezeshkpour, Seshadri, Preethi +3 · 5 citations
Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text Readability and Simplification #Topic Modeling
- Improved Consistency Regularization for GANs
2020/02/11 by Zhengli Zhao, Sameer Singh, Zhao, Zhengli +9 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Downstream Trade-offs of a Family of Text Watermarks
2023/11/16 by Anirudh Ajith, Sameer Singh, Ajith, Anirudh +3 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Text Readability and Simplification #Topic Modeling
- An Empirical Comparison of Instance Attribution Methods for NLP
2021/04/09 by Pouya Pezeshkpour, Pezeshkpour, Pouya, Sarthak Jain +5 · 3 citations
Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Topic Modeling
- EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
2023/09/16 by Mekala, Rajasekhar Reddy, Razeghi, Yasaman, Singh, Sameer · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Embedding Multimodal Relational Data for Knowledge Base Completion
2018/09/05 by Pezeshkpour, Pouya, Chen, Liyan, Singh, Sameer · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
2019/09/19 by Eric Wallace, Jens Tuyls, Wallace, Eric +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
2024/02/05 by Nottingham, Kolby, Majumder, Bodhisattwa Prasad, Mishra, Bhavana Dalvi +3 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Nudging: Inference-time Alignment of LLMs via Guided Decoding
2024/10/11 by Fei Yu, Fei, Yu, Yasaman Razeghi +3 · 5 citations
Computer Science · #Model-Driven Software Engineering Techniques #Topic Modeling #Natural Language Processing Techniques
- Concealed Data Poisoning Attacks on NLP Models
2020/10/23 by Wallace, Eric, Zhao, Tony Z., Feng, Shi +1 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
2021/06/12 by Anthony Chen, Chen, Anthony, Pallavi Gudipati +7 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Image Augmentations for GAN Training
2020/06/04 by Zhengli Zhao, Zizhao Zhang, Zhao, Zhengli +7 · 4 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
- Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
2021/12/15 by Daniel Khashabi, Shane Lyu, Khashabi, Daniel +19 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- FRUIT: Faithfully Reflecting Updated Information in Text
2021/12/16 by Logan, Robert L., Passos, Alexandre, Singh, Sameer +1 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Perceptions of Linguistic Uncertainty by Language Models and Humans
2024/07/22 by Catarina G Belém, Belem, Catarina G, Markelle Kelly +7 · 4 citations
Arts and Humanities · Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Natural Language Processing Techniques #Syntax, Semantics, Linguistic Variation
- Benchmark Data Repositories for Better Benchmarking
2024/10/31 by Rachel Longjohn, Markelle Kelly, Longjohn, Rachel +5 · 4 citations
Computer Science · #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- Gradient-based Analysis of NLP Models is Manipulable
2020/10/12 by Junlin Wang, Wang, Junlin, Jens Tuyls +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Multimodal Attribute Extraction
2017/11/29 by Logan, Robert L., Humeau, Samuel, Singh, Sameer · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Evaluating Models' Local Decision Boundaries via Contrast Sets
2020/04/06 by Matt Gardner, Gardner, Matt, Yoav Artzi +49 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
- Interpretation of Natural Language Rules in Conversational Machine Reading
2018/08/28 by Saeidi, Marzieh, Bartolo, Max, Lewis, Patrick +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language\n Modeling
2019/06/17 by Robert L. Logan, Logan, Robert L., Nelson F. Liu +7 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Graph Neural Networks
- Neural Module Networks for Reasoning over Text
2019/12/10 by Gupta, Nitish, Lin, Kevin, Roth, Dan +2 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Obtaining Faithful Interpretations from Compositional Neural Networks
2020/05/02 by Subramanian, Sanjay, Bogin, Ben, Gupta, Nitish +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Distantly Labeling Data for Large Scale Cross-Document Coreference
2010/05/24 by Sameer Singh, Singh, Sameer, Michael Wick +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- Are Models Biased on Text without Gender-related Language?
2024/05/01 by Catarina G Belém, Belém, Catarina G, Preethi Seshadri +5 · 2 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Gender Studies in Language #Machine Learning (cs.LG)
- Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
2016/11/17 by Marco Túlio Ribeiro, Sameer Singh, Ribeiro, Marco Tulio +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Continued Pretraining for Better Zero- and Few-Shot Promptability
2022/10/19 by Wu, Zhaofeng, Logan, Robert L., Walsh, Pete +4 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Factual and Informative Review Generation for Explainable Recommendation
2022/09/12 by Xie, Zhouhang, Singh, Sameer, McAuley, Julian +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- TurtleBench: A Visual Programming Benchmark in Turtle Geometry
2024/10/31 by Rismanchian, Sina, Razeghi, Yasaman, Singh, Sameer +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
2023/11/16 by Elazar, Yanai, Paranjape, Bhargavi, Peng, Hao +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine\n Reading Comprehension
2019/12/29 by Dheeru Dua, Ananth Gottumukkala, Dua, Dheeru +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- MisgenderMender: A Community-Informed Approach to Interventions for Misgendering
2024/04/23 by Tamanna Hossain, Hossain, Tamanna, Sunipa Dev +3 · 1 citation
Psychology · #Computation and Language (cs.CL) #FOS: Computer and information sciences #LGBTQ Health, Identity, and Policy
- Semantic Probabilistic Control of Language Models
2025/05/04 by Kareem Ahmed, Catarina G Belém, Ahmed, Kareem +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- Leveraging In-Context Learning for Language Model Agents
2025/06/16 by Shivanshu Gupta, Sameer Singh, Gupta, Shivanshu +7 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques