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ORCIDSameer Singh 0001
Person information
- affiliation: University of California, Irvine, CA, USA
- affiliation (2013-2016): University of Washington, Seattle, WA, USA
- affiliation (PhD 2014): University of Massachusetts, Amherst, MA, USA
- affiliation (2004-2007): Vanderbilt University, Nashville, TN, USA
Other persons with the same name
- Sameer Singh — disambiguation page
- Sameer Singh 0002 — Loughborough University, Research School of Informatics, UK (and 2 more)
- Sameer Singh 0003 — Cadence Design Systems, Bangalore, India
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2020 – today
- 2024
[c128]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. EMNLP (Findings) 2024: 3603-3623- [c127]Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh:
Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. EMNLP (Findings) 2024: 5922-5937 - [c126]Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth:
Perceptions of Linguistic Uncertainty by Language Models and Humans. EMNLP 2024: 8467-8502 - [c125]Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? ICLR 2024 - [c124]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 - [c123]Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar:
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR 2024 - [c122]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. ICML 2024 - [c121]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Learning Concise State Descriptions for Language Model Actors. NAACL (Short Papers) 2024: 327-341 - [c120]Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh:
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. NAACL (Short Papers) 2024: 399-432 - [c119]Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. NAACL-HLT 2024: 6367-6384 - [c118]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. NAACL-HLT 2024: 7538-7558 - [i95]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 abs/2402.03244 (2024) - [i94]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. CoRR abs/2404.14695 (2024) - [i93]Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? CoRR abs/2405.00588 (2024) - [i92]Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth:
Perceptions of Linguistic Uncertainty by Language Models and Humans. CoRR abs/2407.15814 (2024) - [i91]Yu Fei, Yasaman Razeghi, Sameer Singh:
Nudging: Inference-time Alignment via Model Collaboration. CoRR abs/2410.09300 (2024) - [i90]Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth:
Benchmark Data Repositories for Better Benchmarking. CoRR abs/2410.24100 (2024) - [i89]Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. CoRR abs/2411.00264 (2024) - 2023
- [j8]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): 103116 (2023) - [j7]Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh:
Explaining machine learning models with interactive natural language conversations using TalkToModel. Nat. Mac. Intell. 5(8): 873-883 (2023) - [c117]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. AAAI 2023: 13816-13824 - [c116]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: 15816-15824 - [c115]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. ACL (1) 2023: 5352-5367 - [c114]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: 14429-14446 - [c113]Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) 2023: 13924-13950 - [c112]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: 26311-26325 - [c111]Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju:
Post Hoc Explanations of Language Models Can Improve Language Models. NeurIPS 2023 - [c110]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: 1318 - [i88]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 abs/2301.12050 (2023) - [i87]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 abs/2303.09014 (2023) - [i86]Dylan Slack, Sameer Singh:
TABLET: Learning From Instructions For Tabular Data. CoRR abs/2304.13188 (2023) - [i85]Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju:
Post Hoc Explanations of Language Models Can Improve Language Models. CoRR abs/2305.11426 (2023) - [i84]Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. CoRR abs/2305.14907 (2023) - [i83]Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu:
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions. CoRR abs/2305.14908 (2023) - [i82]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. CoRR abs/2306.03950 (2023) - [i81]Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué:
Maestro: A Gamified Platform for Teaching AI Robustness. CoRR abs/2306.08238 (2023) - [i80]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 abs/2307.11922 (2023) - [i79]Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. CoRR abs/2308.00755 (2023) - [i78]Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh:
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. CoRR abs/2309.10687 (2023) - [i77]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 abs/2310.20707 (2023) - [i76]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 abs/2311.09605 (2023) - 2022
- [c109]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: 13152-13154 - [c108]Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh:
Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) 2022: 32-37 - [c107]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) 2022: 1934-1946 - [c106]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: 2824-2835 - [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 - [c101]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: 4517-4531 - [c100]Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) 2022: 4966-4979 - [c99]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: 3631-3643 - [c98]Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT 2022: 3670-3686 - [c97]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: 337-346 - [i75]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 abs/2201.02693 (2022) - [i74]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd:
Identifying Adversarial Attacks on Text Classifiers. CoRR abs/2201.08555 (2022) - [i73]Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR abs/2202.01875 (2022) - [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) - [i69]Kolby Nottingham, Alekhya Pyla, Sameer Singh, Roy Fox:
Learning to Query Internet Text for Informing Reinforcement Learning Agents. CoRR abs/2205.13079 (2022) - [i68]Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh:
TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues. CoRR abs/2207.04154 (2022) - [i67]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. CoRR abs/2209.12613 (2022) - [i66]Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh:
Quantifying Social Biases Using Templates is Unreliable. CoRR abs/2210.04337 (2022) - [i65]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 abs/2210.10258 (2022) - [i64]Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd:
TCAB: A Large-Scale Text Classification Attack Benchmark. CoRR abs/2210.12233 (2022) - [i63]Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. CoRR abs/2212.04092 (2022) - [i62]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 abs/2212.10381 (2022) - 2021
- [c96]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. AAAI 2021: 11033-11041 - [c95]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) 2021: 168-174 - [c94]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: 4472-4485 - [c93]Robert L. Logan IV, Andrew McCallum, Sameer Singh, Daniel M. Bikel:
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference. ACL/IJCNLP (1) 2021: 4717-4731 - [c92]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh:
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. BlackboxNLP@EMNLP 2021: 69-78 - [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 - [c88]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. EMNLP (1) 2021: 7052-7063 - [c87]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) 2021: 7347-7357 - [c86]Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-shot Performance of Language Models. ICML 2021: 12697-12706 - [c85]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI 2021: 4824-4828 - [c84]Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh:
Concealed Data Poisoning Attacks on NLP Models. NAACL-HLT 2021: 139-150 - [c83]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT 2021: 967-975 - [c82]Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, Sameer Singh:
Counterfactual Explanations Can Be Manipulated. NeurIPS 2021: 62-75 - [c81]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: 319-324 - [c80]Dylan Slack, Anna Hilgard, Sameer Singh, Himabindu Lakkaraju:
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability. NeurIPS 2021: 9391-9404 - [e4]Danqi Chen, Jonathan Berant, Andrew McCallum, Sameer Singh:
3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021. 2021 [contents] - [i61]Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-Shot Performance of Language Models. CoRR abs/2102.09690 (2021) - [i60]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR abs/2104.01759 (2021) - [i59]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR abs/2104.04128 (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) - [i55]Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju, Sameer Singh:
Counterfactual Explanations Can Be Manipulated. CoRR abs/2106.02666 (2021) - [i54]Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh:
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. CoRR abs/2106.06830 (2021) - [i53]Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
Feature Attributions and Counterfactual Explanations Can Be Manipulated. CoRR abs/2106.12563 (2021) - [i52]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 abs/2106.13353 (2021) - [i51]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. CoRR abs/2107.00323 (2021) - [i50]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR abs/2107.05833 (2021) - [i49]Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh:
Modular Framework for Visuomotor Language Grounding. CoRR abs/2109.02161 (2021) - [i48]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. CoRR abs/2109.05052 (2021) - [i47]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 abs/2112.08348 (2021) - [i46]Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. CoRR abs/2112.08634 (2021) - 2020
- [j6]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: 212177-212193 (2020) - [c79]Sameer Singh:
Minecraft as a Platform for Project-Based Learning in AI. AAAI 2020: 13504-13505 - [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 - [c76]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL 2020: 4902-4912 - [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 - [c73]Bahareh Harandizadeh, Sameer Singh:
Tweeki: Linking Named Entities on Twitter to a Knowledge Graph. W-NUT@EMNLP 2020: 222-231 - [c72]Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods. AIES 2020: 180-186 - [c71]Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Revisiting Evaluation of Knowledge Base Completion Models. AKBC 2020 - [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 - [c68]