NLPExplorer

Eric Wallace

Number of Papers:- 21

Number of Citations:- 4

First ACL Paper:- 2018

Latest ACL Paper:- 2024

Venues:-

NAACL

Findings

ACL

EMNLP

TACL

Co-Authors:-

Similar Authors:-

What Evidence Do Language Models Find Convincing? ACL

Alexander Wan | Eric Wallace | Dan Klein |

Automated Crossword Solving ACL

Analyzing Dynamic Adversarial Training Data in the Limit ACL Findings

Eric Wallace | Adina Williams | Robin Jia | Douwe Kiela |

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models ACL Findings

Concealed Data Poisoning Attacks on NLP Models NAACL

Eric Wallace | Tony Zhao | Shi Feng | Sameer Singh |

Detoxifying Language Models Risks Marginalizing Minority Voices NAACL

Pretrained Transformers Improve Out-of-Distribution Robustness ACL

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP

Imitation Attacks and Defenses for Black-box Machine Translation Systems EMNLP

Eric Wallace | Mitchell Stern | Dawn Song |

Interpreting Predictions of NLP Models EMNLP

Eric Wallace | Matt Gardner | Sameer Singh |

Gradient-based Analysis of NLP Models is Manipulable EMNLP Findings

Junlin Wang | Jens Tuyls | Eric Wallace | Sameer Singh |

Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP Findings

Eric Wallace

Number of Papers:- 21

Number of Citations:- 4

First ACL Paper:- 2018

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

What Evidence Do Language Models Find Convincing? ACL

Automated Crossword Solving ACL

Analyzing Dynamic Adversarial Training Data in the Limit ACL Findings

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models ACL Findings

Concealed Data Poisoning Attacks on NLP Models NAACL

Detoxifying Language Models Risks Marginalizing Minority Voices NAACL

Pretrained Transformers Improve Out-of-Distribution Robustness ACL

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP

Imitation Attacks and Defenses for Black-box Machine Translation Systems EMNLP

Interpreting Predictions of NLP Models EMNLP

Gradient-based Analysis of NLP Models is Manipulable EMNLP Findings

Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP Findings

Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP

Do NLP Models Know Numbers? Probing Numeracy in Embeddings EMNLP

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models EMNLP

Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL

Misleading Failures of Partial-input Baselines ACL

Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering TACL

Pathologies of Neural Models Make Interpretations Difficult EMNLP

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions ACL

Interpreting Neural Networks with Nearest Neighbors EMNLP WS