NLPExplorer

Swaroop Mishra

Number of Papers:- 22

Number of Citations:- 0

First ACL Paper:- 2020

Latest ACL Paper:- 2024

Venues:-

NAACL

EMNLP

Findings

ACL

EACL

RepL4NLP

sustainlp

Co-Authors:-

Similar Authors:-

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis NAACL

How Many Data Samples is an Additional Instruction Worth? F i n d i n g s - E A C L

Ravsehaj Singh Puri | Swaroop Mishra | Mihir Parmar | Chitta Baral |

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow EACL

Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL

Mihir Parmar | Swaroop Mishra | Mor Geva | Chitta Baral |

“John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility EACL

InstructExcel: A Benchmark for Natural Language Instruction in Excel F i n d i n g s - E M N L P

HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models F i n d i n g s - A C L

Swaroop Mishra | Elnaz Nouri |

Self-Instruct: Aligning Language Models with Self-Generated Instructions ACL

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL Findings

Neeraj Varshney | Swaroop Mishra | Chitta Baral |

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL

Towards Improving Selective Prediction Ability of NLP Systems ACL RepL4NLP

Neeraj Varshney | Swaroop Mishra | Chitta Baral |

Reframing Instructional Prompts to GPTk’s Language ACL Findings

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness ACL Findings

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data ACL

Neeraj Varshney | Swaroop Mishra | Chitta Baral |

Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL

Swaroop Mishra | Daniel Khashabi | Chitta Baral | Hannaneh Hajishirzi |

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning Findings NAACL

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks EMNLP

Swaroop Mishra

Number of Papers:- 22

Number of Citations:- 0

First ACL Paper:- 2020

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis NAACL

How Many Data Samples is an Additional Instruction Worth? F i n d i n g s - E A C L

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow EACL

Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL

“John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility EACL

InstructExcel: A Benchmark for Natural Language Instruction in Excel F i n d i n g s - E M N L P

HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models F i n d i n g s - A C L

Self-Instruct: Aligning Language Models with Self-Generated Instructions ACL

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL Findings

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL

Towards Improving Selective Prediction Ability of NLP Systems ACL RepL4NLP

Reframing Instructional Prompts to GPTk’s Language ACL Findings

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness ACL Findings

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data ACL

Cross-Task Generalization via Natural Language Crowdsourcing Instructions ACL

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning Findings NAACL

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks EMNLP

Less is More: Summary of Long Instructions is Better for Program Synthesis EMNLP

LILA: A Unified Benchmark for Mathematical Reasoning EMNLP

Is a Question Decomposition Unit All We Need? EMNLP

Constructing Flow Graphs from Procedural Cybersecurity Texts Findings

Do We Need to Create Big Datasets to Learn a Task? EMNLP sustainlp