← Authors

Sameer Singh

111 papers · 2009–2025 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (9) 🏠 Conference Loyalist (22) 🧬 Topic Evolution 🌱 Topic Pioneer 🀝 Dynamic Duo (32) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (26) πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (111) πŸ“ˆ Trend Setter ❓ The Questioner (6) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (421)

Conferences

EMNLP (35) ACL (22) NAACL (19) IJCNLP (9) ICLR (6) NIPS (6) AAAI (4) ICML (3) AACL (2) CONLL (2) AISTATS (1) COLING (1) IJCAI (1)

Top co-authors

Matt Gardner (32) Eric Wallace (14) Dheeru Dua (11) Andrew McCallum (10) Yasaman Razeghi (9) Nitish Gupta (7) Carlos Guestrin (6) Noah A. Smith (6) Sanjay Subramanian (6) Hannaneh Hajishirzi (6)

Research topics

Architectures (1) Privacy (1) Education (1)

Keywords

language model (18) question answering (9) few-shot learning (9) reading comprehension (8) adversarial attack (8) large language model (8) in-context learning (7) natural language processing (7) model interpretability (6) named entity (5) saliency map (5) neural network (5) text generation (5) entity linking (5) sentiment analysis (5) knowledge graph (4) numerical reasoning (4) model evaluation (4) knowledge base (4) data augmentation (4)

Papers

Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts AACL 2025
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts IJCNLP 2025
Characterizing Mamba’s Selective Memory using Auto-Encoders IJCNLP 2025
Nudging: Inference-time Alignment of LLMs via Guided Decoding ACL 2025
Characterizing Mamba’s Selective Memory using Auto-Encoders AACL 2025
TurtleBench: A Visual Programming Benchmark in Turtle Geometry NAACL 2025
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills ICML 2024
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning NAACL 2024
Selective Perception: Learning Concise State Descriptions for Language Model Actors NAACL 2024
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering NAACL 2024
The Bias Amplification Paradox in Text-to-Image Generation NAACL 2024
Downstream Trade-offs of a Family of Text Watermarks EMNLP 2024
Plot Twist: Multimodal Models Don’t Comprehend Simple Chart Details EMNLP 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans EMNLP 2024
Are Models Biased on Text without Gender-related Language? ICLR 2024
What's In My Big Data? ICLR 2024
Benchmark Data Repositories for Better Benchmarking NIPS 2024
MISGENDERED: Limits of Large Language Models in Understanding Pronouns ACL 2023
Post Hoc Explanations of Language Models Can Improve Language Models NIPS 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling ICML 2023
Maestro: A Gamified Platform for Teaching AI Robustness AAAI 2023
Coverage-based Example Selection for In-Context Learning EMNLP 2023
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering ACL 2023
Factual and Informative Review Generation for Explainable Recommendation AAAI 2023
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension ACL 2022
Zero- and Few-Shot NLP with Pretrained Language Models ACL 2022
Combining Feature and Instance Attribution to Detect Artifacts ACL 2022
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models ACL 2022
FRUIT: Faithfully Reflecting Updated Information in Text NAACL 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022
PYLON: A PyTorch Framework for Learning with Constraints AAAI 2022
Successive Prompting for Decomposing Complex Questions EMNLP 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability EMNLP 2022
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance EMNLP 2022
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning EMNLP 2022
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation EMNLP 2022
Concealed Data Poisoning Attacks on NLP Models NAACL 2021
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract) IJCAI 2021
Counterfactual Explanations Can Be Manipulated NIPS 2021
Calibrate Before Use: Improving Few-shot Performance of Language Models ICML 2021
Competency Problems: On Finding and Removing Artifacts in Language Data EMNLP 2021
Paired Examples as Indirect Supervision in Latent Decision Models EMNLP 2021
Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021
Entity-Based Knowledge Conflicts in Question Answering EMNLP 2021
Learning with Instance Bundles for Reading Comprehension EMNLP 2021
Enforcing Consistency in Weakly Supervised Semantic Parsing ACL 2021
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ACL 2021
Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP IJCNLP 2021
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP ACL 2021
An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021
Enforcing Consistency in Weakly Supervised Semantic Parsing IJCNLP 2021
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference IJCNLP 2021
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NIPS 2021
Improved Consistency Regularization for GANs AAAI 2021
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020
On Importance Sampling-Based Evaluation of Latent Language Models ACL 2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References EMNLP 2020
COVIDLies: Detecting COVID-19 Misinformation on Social Media EMNLP 2020
Dynamic Sampling Strategies for Multi-Task Reading Comprehension ACL 2020
Tweeki: Linking Named Entities on Twitter to a Knowledge Graph EMNLP 2020
Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020
Neural Module Networks for Reasoning over Text ICLR 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution ICLR 2020
Benefits of Intermediate Annotations in Reading Comprehension ACL 2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP 2020
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics EMNLP 2020
Interpreting Predictions of NLP Models EMNLP 2020
Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020
PoMo: Generating Entity-Specific Post-Modifiers in Context NAACL 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling ACL 2019
Are Red Roses Red? Evaluating Consistency of Question-Answering Models ACL 2019
Knowledge Enhanced Contextual Word Representations EMNLP 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings EMNLP 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models EMNLP 2019
Evaluating Question Answering Evaluation EMNLP 2019
Comprehensive Multi-Dataset Evaluation of Reading Comprehension EMNLP 2019
Knowledge Enhanced Contextual Word Representations IJCNLP 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP IJCNLP 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings IJCNLP 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models IJCNLP 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs NAACL 2019
GenderQuant: Quantifying Mention-Level Genderedness NAACL 2019
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications NAACL 2019
Deep Adversarial Learning for NLP NAACL 2019
Generating Natural Adversarial Examples ICLR 2018
Interpretation of Natural Language Rules in Conversational Machine Reading EMNLP 2018
Embedding Multimodal Relational Data for Knowledge Base Completion EMNLP 2018
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs ICLR 2018
Semantically Equivalent Adversarial Rules for Debugging NLP models ACL 2018
Entity Linking via Joint Encoding of Types, Descriptions, and Context EMNLP 2017
β€œWhy Should I Trust You?”: Explaining the Predictions of Any Classifier NAACL 2016
Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016
Connotation Frames: A Data-Driven Investigation ACL 2016
WOLFE: An NLP-friendly Declarative Machine Learning Stack NAACL 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Injecting Logical Background Knowledge into Embeddings for Relation Extraction NAACL 2015
Dynamic Knowledge-Base Alignment for Coreference Resolution CONLL 2013
Monte Carlo MCMC: Efficient Inference by Approximate Sampling EMNLP 2012
A Discriminative Hierarchical Model for Fast Coreference at Large Scale ACL 2012
Monte Carlo MCMC: Efficient Inference by Approximate Sampling CONLL 2012
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models ACL 2011
Minimally-Supervised Extraction of Entities from Text Advertisements NAACL 2010
Constraint-Driven Rank-Based Learning for Information Extraction NAACL 2010
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009