Singh, Sameer

34 publications

ICLR 2026 Parallel Token Prediction for Language Models Felix Draxler, Justus Will, Farrin Marouf Sofian, Theofanis Karaletsos, Sameer Singh, Stephan Mandt

ICLR 2024 Are Models Biased on Text Without Gender-Related Language? Catarina G Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh

NeurIPS 2024 Benchmark Data Repositories for Better Benchmarking Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth

ICML 2024 Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox

NeurIPSW 2024 TurtleBench: A Visual Programming Benchmark in Turtle Geometry Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi

ICLR 2024 What's in My Big Data? Yanai Elazar, Akshita Bhagia, Ian Helgi Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge

NeurIPSW 2023 Are Models Biased on Text Without Gender-Related Language? Catarina Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh

ICML 2023 Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making Using Language Guided World Modelling Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox

ICLRW 2023 Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making Using Language Guided World Modelling Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox

NeurIPSW 2023 EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-Context Learning Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh

AAAI 2023 Factual and Informative Review Generation for Explainable Recommendation Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder

AAAI 2023 Maestro: A Gamified Platform for Teaching AI Robustness Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué

NeurIPS 2023 Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

NeurIPSW 2023 Selective Perception: Learning Concise State Descriptions for Language Model Actors Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, Jb Lanier, Pierre Baldi, Roy Fox, Sameer Singh

AAAI 2022 PYLON: A PyTorch Framework for Learning with Constraints Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh

NeurIPSW 2022 Quantifying Social Biases Using Templates Is Unreliable Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh

NeurIPSW 2022 TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations Dylan Z Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh

IJCAI 2021 Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract) Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

ICML 2021 Calibrate Before Use: Improving Few-Shot Performance of Language Models Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh

NeurIPS 2021 Counterfactual Explanations Can Be Manipulated Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, Sameer Singh

AAAI 2021 Improved Consistency Regularization for GANs Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang

NeurIPS 2021 Reliable Post Hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack, Anna Hilgard, Sameer Singh, Himabindu Lakkaraju

ICLR 2020 Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh

AAAI 2020 Minecraft as a Platform for Project-Based Learning in AI Sameer Singh

ICLR 2020 Neural Module Networks for Reasoning over Text Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner

NeurIPSW 2020 On the Utility of Active Instance Selection for Few-Shot Learning Pouya Pezeshkpour, Zhengli Zhao, Sameer Singh

AAAI 2018 Anchors: High-Precision Model-Agnostic Explanations Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

ICLR 2018 Combining Symbolic Expressions and Black-Box Function Evaluations in Neural Programs Forough Arabshahi, Sameer Singh, Animashree Anandkumar

ICLR 2018 Generating Natural Adversarial Examples Zhengli Zhao, Dheeru Dua, Sameer Singh

AAAI 2016 Creating Interactive and Visual Educational Resources for AI Sameer Singh, Sebastian Riedel

AISTATS 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin

ECML-PKDD 2009 Bi-Directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs Sameer Singh, Karl Schultz, Andrew McCallum

NeurIPS 2009 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs Andrew McCallum, Karl Schultz, Sameer Singh

NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum, Michael J. Black