Sameer Singh

248 papers A* 33A 5B 3C 2Misc 2Journal 107Unranked 92
YearRankTypeTitle / Venue / Authors
2026 J jnl
Entropy-Aligned Decoding of LMs for Better Writing and Reasoning.
CoRR
Kareem Ahmed, Sameer Singh
2026 J jnl
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations.
CoRR
Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde, Sameer Singh, Seraphina Goldfarb-Tarrant
2025 — conf
Characterizing Mamba's Selective Memory using Auto-Encoders.
IJCNLP-AACL (long papers)
Tamanna Hossain, Robert L. Logan IV, Ganesh Jagadeesan, Sameer Singh, Joel R. Tetreault, Alejandro Jaimes
2025 J jnl
Characterizing Mamba's Selective Memory using Auto-Encoders.
CoRR
Tamanna Hossain, Robert L. Logan IV, Ganesh Jagadeesan, Sameer Singh, Joel R. Tetreault, Alejandro Jaimes
2025 J jnl
Leveraging In-Context Learning for Language Model Agents.
CoRR
Shivanshu Gupta, Sameer Singh, Ashish Sabharwal, Tushar Khot, Ben Bogin
2025 — conf
Nudging: Inference-time Alignment of LLMs via Guided Decoding.
ACL (1)
Yu Fei, Yasaman Razeghi, Sameer Singh
2025 J jnl
Semantic Probabilistic Control of Language Models.
CoRR
Kareem Ahmed, Catarina G. Belém, Padhraic Smyth, Sameer Singh
2025 — conf
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts.
IJCNLP-AACL (long papers)
Preethi Seshadri, Hongyu Chen, Sameer Singh, Seraphina Goldfarb-Tarrant
2025 — conf
TurtleBench: A Visual Programming Benchmark in Turtle Geometry.
NAACL (Long Papers)
Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi
2024 A* conf
Are Models Biased on Text without Gender-related Language?
ICLR
Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh
2024 J jnl
Are Models Biased on Text without Gender-related Language?
CoRR
Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh
2024 — conf
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data.
Tiny Papers @ ICLR
Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar
2024 A* conf
Benchmark Data Repositories for Better Benchmarking.
NeurIPS
Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth
2024 J jnl
Benchmark Data Repositories for Better Benchmarking.
CoRR
Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth
2024 — conf
Downstream Trade-offs of a Family of Text Watermarks.
EMNLP (Findings)
Anirudh Ajith, Sameer Singh, Danish Pruthi
2024 — conf
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning.
NAACL (Short Papers)
Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh
2024 — conf
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.
EMNLP (Findings)
Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith
2024 — conf
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering.
NAACL-HLT
Tamanna Hossain, Sunipa Dev, Sameer Singh
2024 J jnl
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering.
CoRR
Tamanna Hossain, Sunipa Dev, Sameer Singh
2024 J jnl
Nudging: Inference-time Alignment via Model Collaboration.
CoRR
Yu Fei, Yasaman Razeghi, Sameer Singh
2024 A* conf
Perceptions of Linguistic Uncertainty by Language Models and Humans.
EMNLP
Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth
2024 J jnl
Perceptions of Linguistic Uncertainty by Language Models and Humans.
CoRR
Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth
2024 — conf
Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details.
EMNLP (Findings)
Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh
2024 — conf
Selective Perception: Learning Concise State Descriptions for Language Model Actors.
NAACL (Short Papers)
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
2024 A* conf
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
ICML
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
2024 J jnl
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
CoRR
Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox
2024 — conf
The Bias Amplification Paradox in Text-to-Image Generation.
NAACL-HLT
Preethi Seshadri, Sameer Singh, Yanai Elazar
2024 J jnl
TurtleBench: A Visual Programming Benchmark in Turtle Geometry.
CoRR
Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi
2024 A* conf
What's In My Big Data?
ICLR
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
2023 J jnl
ART: Automatic multi-step reasoning and tool-use for large language models.
CoRR
Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro
2023 — conf
Coverage-based Example Selection for In-Context Learning.
EMNLP (Findings)
Shivanshu Gupta, Matt Gardner, Sameer Singh
2023 J jnl
Coverage-based Example Selection for In-Context Learning.
CoRR
Shivanshu Gupta, Matt Gardner, Sameer Singh
2023 — conf
Design Factors of Maestro: A Serious Game for Robust AI Education.
SIGCSE (2)
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué
2023 A* conf
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling.
ICML
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
2023 J jnl
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling.
CoRR
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
2023 J jnl
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning.
CoRR
Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh
2023 J jnl
Evaluating the generalisability of neural rumour verification models.
Inf. Process. Manag.
Elena Kochkina, Tamanna Hossain, Robert L. Logan IV, Miguel Arana-Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata
2023 J jnl
Explaining machine learning models with interactive natural language conversations using TalkToModel.
Nat. Mac. Intell.
Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh
2023 A* conf
Factual and Informative Review Generation for Explainable Recommendation.
AAAI
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
2023 — conf
MISGENDERED: Limits of Large Language Models in Understanding Pronouns.
ACL (1)
Tamanna Hossain, Sunipa Dev, Sameer Singh
2023 J jnl
MISGENDERED: Limits of Large Language Models in Understanding Pronouns.
CoRR
Tamanna Hossain, Sunipa Dev, Sameer Singh
2023 A* conf
Maestro: A Gamified Platform for Teaching AI Robustness.
AAAI
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué
2023 J jnl
Maestro: A Gamified Platform for Teaching AI Robustness.
CoRR
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué
2023 J jnl
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.
CoRR
Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
2023 J jnl
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions.
CoRR
Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu
2023 J jnl
Performance Trade-offs of Watermarking Large Language Models.
CoRR
Anirudh Ajith, Sameer Singh, Danish Pruthi
2023 A* conf
Post Hoc Explanations of Language Models Can Improve Language Models.
NeurIPS
Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
2023 J jnl
Post Hoc Explanations of Language Models Can Improve Language Models.
CoRR
Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
2023 J jnl
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors.
CoRR
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
2023 J jnl
TABLET: Learning From Instructions For Tabular Data.
CoRR
Dylan Slack, Sameer Singh
2023 J jnl
The Bias Amplification Paradox in Text-to-Image Generation.
CoRR
Preethi Seshadri, Sameer Singh, Yanai Elazar
2023 — conf
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering.
ACL (1)
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
2023 J jnl
What's In My Big Data?
CoRR
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
2022 C conf
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing.
WoWMoM
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
2022 J jnl
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing.
CoRR
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
2022 — conf
Combining Feature and Instance Attribution to Detect Artifacts.
ACL (Findings)
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
2022 A* conf
Continued Pretraining for Better Zero- and Few-Shot Promptability.
EMNLP
Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy
2022 J jnl
Continued Pretraining for Better Zero- and Few-Shot Promptability.
CoRR
Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy
2022 — conf
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models.
ACL (Findings)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
2022 — conf
FRUIT: Faithfully Reflecting Updated Information in Text.
NAACL-HLT
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
2022 J jnl
Factual and Informative Review Generation for Explainable Recommendation.
CoRR
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022 J jnl
Identifying Adversarial Attacks on Text Classifiers.
CoRR
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd
2022 — conf
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning.
EMNLP (Findings)
Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
2022 J jnl
Impact of Pretraining Term Frequencies on Few-Shot Reasoning.
CoRR
Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
2022 J jnl
Learning to Query Internet Text for Informing Reinforcement Learning Agents.
CoRR
Kolby Nottingham, Alekhya Pyla, Sameer Singh, Roy Fox
2022 A* conf
PYLON: A PyTorch Framework for Learning with Constraints.
AAAI
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
2022 — conf
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts.
NAACL-HLT
Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
2022 J jnl
Quantifying Social Biases Using Templates is Unreliable.
CoRR
Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh
2022 — conf
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension.
ACL (1)
Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
2022 J jnl
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension.
CoRR
Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
2022 J jnl
Rethinking Explainability as a Dialogue: A Practitioner's Perspective.
CoRR
Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh
2022 — conf
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance.
EMNLP (Demos)
Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh
2022 J jnl
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets.
CoRR
Shivanshu Gupta, Sameer Singh, Matt Gardner
2022 — conf
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation.
EMNLP (Findings)
Shivanshu Gupta, Sameer Singh, Matt Gardner
2022 A* conf
Successive Prompting for Decomposing Complex Questions.
EMNLP
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
2022 J jnl
Successive Prompting for Decomposing Complex Questions.
CoRR
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
2022 J jnl
TCAB: A Large-Scale Text Classification Attack Benchmark.
CoRR
Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd
2022 J jnl
TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues.
CoRR
Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh
2022 J jnl
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering.
CoRR
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
2022 — conf
Zero- and Few-Shot NLP with Pretrained Language Models.
ACL (tutorial)
Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh
2021 — ed.
3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021.
AKBC
Danqi Chen, Jonathan Berant, Andrew McCallum, Sameer Singh
2021 — conf
An Empirical Comparison of Instance Attribution Methods for NLP.
NAACL-HLT
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
2021 J jnl
An Empirical Comparison of Instance Attribution Methods for NLP.
CoRR
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
2021 — conf
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference.
ACL/IJCNLP (1)
Robert L. Logan IV, Andrew McCallum, Sameer Singh, Daniel M. Bikel
2021 A* conf
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract).
IJCAI
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2021 J jnl
Calibrate Before Use: Improving Few-Shot Performance of Language Models.
CoRR
Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
2021 A* conf
Calibrate Before Use: Improving Few-shot Performance of Language Models.
ICML
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
2021 J jnl
Combining Feature and Instance Attribution to Detect Artifacts.
CoRR
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
2021 — conf
Competency Problems: On Finding and Removing Artifacts in Language Data.
EMNLP (1)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021 J jnl
Competency Problems: On Finding and Removing Artifacts in Language Data.
CoRR
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021 — conf
Concealed Data Poisoning Attacks on NLP Models.
NAACL-HLT
Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh
2021 A* conf
Counterfactual Explanations Can Be Manipulated.
NeurIPS
Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, Sameer Singh
2021 J jnl
Counterfactual Explanations Can Be Manipulated.
CoRR
Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju, Sameer Singh
2021 J jnl
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models.
CoRR
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
2021 — conf
Enforcing Consistency in Weakly Supervised Semantic Parsing.
ACL/IJCNLP (2)
Nitish Gupta, Sameer Singh, Matt Gardner
2021 J jnl
Enforcing Consistency in Weakly Supervised Semantic Parsing.
CoRR
Nitish Gupta, Sameer Singh, Matt Gardner
2021 — conf
Entity-Based Knowledge Conflicts in Question Answering.
EMNLP (1)
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh
2021 J jnl
Entity-Based Knowledge Conflicts in Question Answering.
CoRR
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh
2021 — conf
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP.
ACL/IJCNLP (1)
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh
2021 J jnl
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP.
CoRR
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh
2021 J jnl
FRUIT: Faithfully Reflecting Updated Information in Text.
CoRR
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
2021 J jnl
Feature Attributions and Counterfactual Explanations Can Be Manipulated.
CoRR
Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju
2021 — conf
Generative Context Pair Selection for Multi-hop Question Answering.
EMNLP (1)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
2021 J jnl
Generative Context Pair Selection for Multi-hop Question Answering.
CoRR
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
2021 A* conf
Improved Consistency Regularization for GANs.
AAAI
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
2021 — conf
Learning with Instance Bundles for Reading Comprehension.
EMNLP (1)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
2021 J jnl
Learning with Instance Bundles for Reading Comprehension.
CoRR
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
2021 J jnl
Modular Framework for Visuomotor Language Grounding.
CoRR
Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh
2021 J jnl
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts.
CoRR
Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
2021 — conf
Paired Examples as Indirect Supervision in Latent Decision Models.
EMNLP (1)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
2021 J jnl
Paired Examples as Indirect Supervision in Latent Decision Models.
CoRR
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
2021 — conf
Pylon: A PyTorch Framework for Learning with Constraints.
NeurIPS (Competition and Demos)
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
2021 A* conf
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability.
NeurIPS
Dylan Slack, Anna Hilgard, Sameer Singh, Himabindu Lakkaraju
2021 — conf
Robustness and Adversarial Examples in Natural Language Processing.
EMNLP (Tutorial Abstracts)
Kai-Wei Chang, He He, Robin Jia, Sameer Singh
2021 — conf
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations.
BlackboxNLP@EMNLP
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh
2020 — conf
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.
EMNLP (1)
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh
2020 J jnl
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.
CoRR
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh
2020 A* conf
Benefits of Intermediate Annotations in Reading Comprehension.
ACL
Dheeru Dua, Sameer Singh, Matt Gardner
2020 A* conf
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList.
ACL
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020 J jnl
Beyond Accuracy: Behavioral Testing of NLP models with CheckList.
CoRR
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020 B conf
Building a Better Lie Detector with BERT: The Difference Between Truth and Lies.
IJCNN
Dan Barsever, Sameer Singh, Emre Neftci
2020 — conf
COVIDLies: Detecting COVID-19 Misinformation on Social Media.
NLP4COVID@EMNLP
Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh
2020 — ed.
Conference on Automated Knowledge Base Construction, AKBC 2020, Virtual, June 22-24, 2020.
AKBC
Dipanjan Das, Hannaneh Hajishirzi, Andrew McCallum, Sameer Singh
2020 J jnl
Customizing Triggers with Concealed Data Poisoning.
CoRR
Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh
2020 A* conf
Dynamic Sampling Strategies for Multi-Task Reading Comprehension.
ACL
Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner
2020 — conf
Evaluating Models' Local Decision Boundaries via Contrast Sets.
EMNLP (Findings)
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
2020 J jnl
Evaluating NLP Models via Contrast Sets.
CoRR
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
2020 A* conf
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution.
ICLR
Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh
2020 C conf
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods.
AIES
Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju
2020 — conf
Gradient-based Analysis of NLP Models is Manipulable.
EMNLP (Findings)
Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh
2020 J jnl
Gradient-based Analysis of NLP Models is Manipulable.
CoRR
Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh
2020 J jnl
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems.
IEEE Access
Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh
2020 J jnl
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations.
CoRR
Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju
2020 J jnl
Image Augmentations for GAN Training.
CoRR
Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang
2020 J jnl
Improved Consistency Regularization for GANs.
CoRR
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
2020 — conf
Interpreting Predictions of NLP Models.
EMNLP (Tutorial Abstracts)
Eric Wallace, Matt Gardner, Sameer Singh
2020 — conf
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.
EMNLP (1)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2020 J jnl
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.
CoRR
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2020 — conf
MedICaT: A Dataset of Medical Images, Captions, and Textual References.
EMNLP (Findings)
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020 J jnl
MedICaT: A Dataset of Medical Images, Captions, and Textual References.
CoRR
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020 A* conf
Minecraft as a Platform for Project-Based Learning in AI.
AAAI
Sameer Singh
2020 A* conf
Neural Module Networks for Reasoning over Text.
ICLR
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
2020 A* conf
Obtaining Faithful Interpretations from Compositional Neural Networks.
ACL
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020 J jnl
Obtaining Faithful Interpretations from Compositional Neural Networks.
CoRR
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020 A* conf
On Importance Sampling-Based Evaluation of Latent Language Models.
ACL
Robert L. Logan IV, Matt Gardner, Sameer Singh
2020 — conf
Revisiting Evaluation of Knowledge Base Completion Models.
AKBC
Pouya Pezeshkpour, Yifan Tian, Sameer Singh
2020 — conf
Tweeki: Linking Named Entities on Twitter to a Knowledge Graph.
W-NUT@EMNLP
Bahareh Harandizadeh, Sameer Singh
2019 — conf
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models.
EMNLP/IJCNLP (3)
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
2019 J jnl
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models.
CoRR
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
2019 — conf
Analyzing Compositionality in Visual Question Answering.
ViGIL@NeurIPS
Sanjay Subramanian, Sameer Singh, Matt Gardner
2019 — conf
Are Red Roses Red? Evaluating Consistency of Question-Answering Models.
ACL (1)
Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh
2019 — conf
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling.
ACL (1)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019 J jnl
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling.
CoRR
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019 — conf
Compositional Questions Do Not Necessitate Multi-hop Reasoning.
ACL (1)
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
2019 J jnl
Compositional Questions Do Not Necessitate Multi-hop Reasoning.
CoRR
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
2019 — conf
Comprehensive Multi-Dataset Evaluation of Reading Comprehension.
MRQA@EMNLP
Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner
2019 — conf
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
NAACL-HLT (1)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019 J jnl
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.
CoRR
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019 — conf
Deep Adversarial Learning for NLP.
NAACL-HLT (Tutorial Abstracts)
William Yang Wang, Sameer Singh, Jiwei Li
2019 J jnl
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.
J. Am. Medical Informatics Assoc.
Jihyun Park, Dimitrios Kotzias, Patty Kuo, Robert L. Logan IV, Kritzia Merced, Sameer Singh, Michael Tanana, Efi Karra Taniskidou, Jennifer Elston-Lafata, David C. Atkins, Ming Tai-Seale, Zac E. Imel, Padhraic Smyth
2019 — conf
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems.
HotEdgeVideo@MobiCom
Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh
2019 — conf
Do NLP Models Know Numbers? Probing Numeracy in Embeddings.
EMNLP/IJCNLP (1)
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
2019 J jnl
Do NLP Models Know Numbers? Probing Numeracy in Embeddings.
CoRR
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
2019 — conf
Evaluating Question Answering Evaluation.
MRQA@EMNLP
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019 J jnl
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency.
CoRR
Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh
2019 — conf
GenderQuant: Quantifying Mention-Level Genderedness.
NAACL-HLT (1)
Ananya, Nitya Parthasarthi, Sameer Singh
2019 J jnl
How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods.
CoRR
Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju
2019 J jnl
Improving Differentially Private Models with Active Learning.
CoRR
Zhengli Zhao, Nicolas Papernot, Sameer Singh, Neoklis Polyzotis, Augustus Odena
2019 — conf
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications.
AKBC
Pouya Pezeshkpour, Yifan Tian, Sameer Singh
2019 — conf
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications.
NAACL-HLT (1)
Pouya Pezeshkpour, Yifan Tian, Sameer Singh
2019 J jnl
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications.
CoRR
Pouya Pezeshkpour, Yifan Tian, Sameer Singh
2019 — conf
Knowledge Enhanced Contextual Word Representations.
EMNLP/IJCNLP (1)
Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
2019 J jnl
Knowledge Enhanced Contextual Word Representations.
CoRR
Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
2019 J jnl
Memory Augmented Recursive Neural Networks.
CoRR
Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar
2019 J jnl
Neural Module Networks for Reasoning over Text.
CoRR
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
2019 J jnl
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension.
CoRR
Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner
2019 — conf
PoMo: Generating Entity-Specific Post-Modifiers in Context.
NAACL-HLT (1)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
2019 J jnl
PoMo: Generating Entity-Specific Post-Modifiers in Context.
CoRR
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
2019 — conf
Universal Adversarial Triggers for Attacking and Analyzing NLP.
EMNLP/IJCNLP (1)
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh
2019 J jnl
Universal Adversarial Triggers for NLP.
CoRR
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh
2018 J jnl
A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett.
Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura
2018 A* conf
Anchors: High-Precision Model-Agnostic Explanations.
AAAI
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2018 — conf
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs.
ICLR (Poster)
Forough Arabshahi, Sameer Singh, Animashree Anandkumar
2018 J jnl
Combining Symbolic and Function Evaluation Expressions In Neural Programs.
CoRR
Forough Arabshahi, Sameer Singh, Animashree Anandkumar
2018 J jnl
Compact Factorization of Matrices Using Generalized Round-Rank.
CoRR
Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh
2018 A* conf
Embedding Multimodal Relational Data for Knowledge Base Completion.
EMNLP
Pouya Pezeshkpour, Liyan Chen, Sameer Singh
2018 J jnl
Embedding Multimodal Relational Data for Knowledge Base Completion.
CoRR
Pouya Pezeshkpour, Liyan Chen, Sameer Singh
2018 — conf
Generating Natural Adversarial Examples.
ICLR (Poster)
Zhengli Zhao, Dheeru Dua, Sameer Singh
2018 A* conf
Interpretation of Natural Language Rules in Conversational Machine Reading.
EMNLP
Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
2018 J jnl
Interpretation of Natural Language Rules in Conversational Machine Reading.
CoRR
Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
2018 A conf
Mining Knowledge Graphs From Text.
WSDM
Jay Pujara, Sameer Singh
2018 — conf
Semantically Equivalent Adversarial Rules for Debugging NLP models.
ACL (1)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2017 — conf
Embedding Multimodal Relational Data.
AKBC@NIPS
Pouya Pezeshkpour, Liyan Chen, Sameer Singh
2017 A* conf
Entity Linking via Joint Encoding of Types, Descriptions, and Context.
EMNLP
Nitish Gupta, Sameer Singh, Dan Roth
2017 — conf
From Reinforcement Learning to Deep Reinforcement Learning: An Overview.
Braverman Readings in Machine Learning
Forest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi
2017 J jnl
Generating Natural Adversarial Examples.
CoRR
Zhengli Zhao, Dheeru Dua, Sameer Singh
2017 Misc conf
Intelligent data filtering in constrained IoT systems.
ACSSC
Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh
2017 — conf
Multimodal Attribute Extraction.
AKBC@NIPS
Robert L. Logan IV, Samuel Humeau, Sameer Singh
2017 J jnl
Multimodal Attribute Extraction.
CoRR
Robert L. Logan IV, Samuel Humeau, Sameer Singh
2017 J jnl
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks.
CoRR
Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi, Christos Christodoulopoulos, Mark Sammons, Saurabh Sinha, Dan Roth
2017 J jnl
Semantic Compression for Edge-Assisted Systems.
CoRR
Igor Burago, Marco Levorato, Sameer Singh
2017 Misc conf
Semantic compression for edge-assisted systems.
ITA
Igor Burago, Marco Levorato, Sameer Singh
2016 A* conf
"Why Should I Trust You?": Explaining the Predictions of Any Classifier.
KDD
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 — conf
"Why Should I Trust You?": Explaining the Predictions of Any Classifier.
HLT-NAACL Demos
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 J jnl
"Why Should I Trust You?": Explaining the Predictions of Any Classifier.
CoRR
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 B conf
Better call Saul: Flexible Programming for Learning and Inference in NLP.
COLING
Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth
2016 — conf
Connotation Frames: A Data-Driven Investigation.
ACL (1)
Hannah Rashkin, Sameer Singh, Yejin Choi
2016 A* conf
Creating Interactive and Visual Educational Resources for AI.
AAAI
Sameer Singh, Sebastian Riedel
2016 J jnl
Model-Agnostic Interpretability of Machine Learning.
CoRR
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 J jnl
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance.
CoRR
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 — ed.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC@NAACL-HLT 2016, San Diego, CA, USA, June 17, 2016
AKBC@NAACL-HLT
Jay Pujara, Tim Rocktäschel, Danqi Chen, Sameer Singh
2016 J jnl
Programs as Black-Box Explanations.
CoRR
Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin
2015 J jnl
Collectively Embedding Multi-Relational Data for Predicting User Preferences.
CoRR
Nitish Gupta, Sameer Singh
2015 J jnl
Connotation Frames: Typed Relations of Implied Sentiment in Predicate-Argument Structure.
CoRR
Hannah Rashkin, Sameer Singh, Yejin Choi
2015 J jnl
Design Challenges for Entity Linking.
Trans. Assoc. Comput. Linguistics
Xiao Ling, Sameer Singh, Daniel S. Weld
2015 A conf
Efficient Second-Order Gradient Boosting for Conditional Random Fields.
AISTATS
Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
2015 — conf
Injecting Logical Background Knowledge into Embeddings for Relation Extraction.
HLT-NAACL
Tim Rocktäschel, Sameer Singh, Sebastian Riedel
2015 — conf
On Approximate Reasoning Capabilities of Low-Rank Vector Spaces.
AAAI Spring Symposia
Guillaume Bouchard, Sameer Singh, Théo Trouillon
2015 — conf
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction.
VS@HLT-NAACL
Sameer Singh, Tim Rocktäschel, Sebastian Riedel
2015 — conf
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models.
AAAI Spring Symposia
Vicente Iván Sánchez Carmona, Tim Rocktäschel, Sebastian Riedel, Sameer Singh
2015 — conf
Towards Two-Way Interaction with Reading Machines.
SLSP
Sebastian Riedel, Sameer Singh, Guillaume Bouchard, Tim Rocktäschel, Vicente Iván Sánchez Carmona
2015 — conf
WOLFE: An NLP-friendly Declarative Machine Learning Stack.
HLT-NAACL
Sameer Singh, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel
2014 — conf
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014.
TREC
Ignacio Cano, Sameer Singh, Carlos Guestrin
2014 — conf
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.
StarAI@AAAI
Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner
2013 — conf
A joint model for discovering and linking entities.
AKBC@CIKM
Michael L. Wick, Sameer Singh, Harshal Pandya, Andrew McCallum
2013 A conf
AKBC 2013: third workshop on automated knowledge base construction.
CIKM
Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar
2013 J jnl
Anytime Belief Propagation Using Sparse Domains.
CoRR
Sameer Singh, Sebastian Riedel, Andrew McCallum
2013 — conf
Assessing confidence of knowledge base content with an experimental study in entity resolution.
AKBC@CIKM
Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum
2013 A conf
Automated probabilistic modeling for relational data.
CIKM
Sameer Singh, Thore Graepel
2013 B conf
Dynamic Knowledge-Base Alignment for Coreference Resolution.
CoNLL
Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D. Choi, Andrew McCallum
2013 — conf
Joint inference of entities, relations, and coreference.
AKBC@CIKM
Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, Andrew McCallum
2013 — ed.
Proceedings of the 2013 workshop on Automated knowledge base construction, AKBC@CIKM 13, San Francisco, California, USA, October 27-28, 2013
AKBC@CIKM
Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar
2013 — conf
Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013.
TAC
Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum
2012 — conf
A Discriminative Hierarchical Model for Fast Coreference at Large Scale.
ACL (1)
Michael L. Wick, Sameer Singh, Andrew McCallum
2012 J jnl
Compiling Relational Database Schemata into Probabilistic Graphical Models
CoRR
Sameer Singh, Thore Graepel
2012 — conf
Monte Carlo MCMC: Efficient Inference by Approximate Sampling.
EMNLP-CoNLL
Sameer Singh, Michael L. Wick, Andrew McCallum
2012 — conf
Monte Carlo MCMC: Efficient Inference by Sampling Factors.
AKBC-WEKEX@NAACL-HLT
Sameer Singh, Michael L. Wick, Andrew McCallum
2011 A* conf
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models.
ACL
Sameer Singh, Amarnag Subramanya, Fernando C. N. Pereira, Andrew McCallum
2010 — conf
Constraint-Driven Rank-Based Learning for Information Extraction.
HLT-NAACL
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew McCallum
2010 J jnl
Distantly Labeling Data for Large Scale Cross-Document Coreference
CoRR
Sameer Singh, Michael L. Wick, Andrew McCallum
2010 — conf
Minimally-Supervised Extraction of Entities from Text Advertisements.
HLT-NAACL
Sameer Singh, Dustin Hillard, Chris Leggetter
2009 — conf
Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs.
ECML/PKDD (2)
Sameer Singh, Karl Schultz, Andrew McCallum
2009 — conf
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs.
NIPS
Andrew McCallum, Karl Schultz, Sameer Singh
2009 A conf
Parallel Large Scale Feature Selection for Logistic Regression.
SDM
Sameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina
2009 — conf
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference.
NIPS
Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum
2007 J jnl
Common coupling and pointer variables, with application to a Linux case study.
Softw. Qual. J.
Stephen R. Schach, Tokunbo O. S. Adeshiyan, Daniel Balasubramanian, Gabor Madl, Esteban Osses, Sameer Singh, Karlkim Suwanmongkol, Minhui Xie, Dror G. Feitelson
2007 J jnl
Fine-grain analysis of common coupling and its application to a Linux case study.
J. Syst. Softw.
Dror G. Feitelson, Tokunbo O. S. Adeshiyan, Daniel Balasubramanian, Yoav Etsion, Gabor Madl, Esteban Osses, Sameer Singh, Karlkim Suwanmongkol, Minhui Xie, Stephen R. Schach
2006 A* conf
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots.
ICRA
Sameer Singh, Julie A. Adams