NLPExplorer

Shashank Srivastava

Number of Papers:- 33

Number of Citations:- 56

First ACL Paper:- 2013

Latest ACL Paper:- 2024

Venues:-

NAACL

EMNLP

DaSH

Findings

ACL

WNU

IJCNLP

Co-Authors:-

Similar Authors:-

Proceedings of the Fifth Workshop on Data Science with Human-in-the-Loop (DaSH 2024) DaSH WS

Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP

Kerem Zaman | Leshem Choshen | Shashank Srivastava |

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models F i n d i n g s - E M N L P

DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers EMNLP

Rakesh R Menon | Shashank Srivastava |

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture F i n d i n g s - E M N L P

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models EMNLP

Yiyuan Li | Rakesh Menon | Sayan Ghosh | Shashank Srivastava |

MaNtLE: Model-agnostic Natural Language Explainer EMNLP

Rakesh Menon | Kerem Zaman | Shashank Srivastava |

LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning F i n d i n g s - A C L

Sayan Ghosh | Rakesh R. Menon | Shashank Srivastava |

Manipulating the Perceived Personality Traits of Language Models F i n d i n g s - E M N L P

Graham Caron | Shashank Srivastava |

Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers F i n d i n g s - E M N L P

Kangda Wei | Sayan Ghosh | Rakesh Menon | Shashank Srivastava |

ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding ACL

Sayan Ghosh | Shashank Srivastava |

Predicting Difficulty and Discrimination of Natural Language Questions ACL

Matthew Byrd | Shashank Srivastava |

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations ACL

Rakesh R. Menon | Sayan Ghosh | Shashank Srivastava |

Compositional Generalization for Kinship Prediction through Data Augmentation NAACL WNU

Kangda Wei | Sayan Ghosh | Shashank Srivastava |

What do Large Language Models Learn beyond Language? F i n d i n g s - E M N L P

Avinash Madasu | Shashank Srivastava |

Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP Findings

Sayan Ghosh | Shashank Srivastava |

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL IJCNLP

Sayan Ghosh | Zheng Qi | Snigdha Chaturvedi | Shashank Srivastava |

Improving and Simplifying Pattern Exploiting Training EMNLP

Adversarial Scrubbing of Demographic Information for Text Classification EMNLP

Does Social Pressure Drive Persuasion in Online Fora? EMNLP

Ayush Jain | Shashank Srivastava |

Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL

Shashank Srivastava | Oleksandr Polozov | Nebojsa Jojic | Christopher Meek |

PRover: Proof Generation for Interpretable Reasoning over Rules EMNLP

Swarnadeep Saha | Sayan Ghosh | Shashank Srivastava | Mohit Bansal |

Learning to Ask for Conversational Machine Learning EMNLP

Shashank Srivastava | Igor Labutov | Tom Mitchell |

LIA: A Natural Language Programmable Personal Assistant EMNLP

Igor Labutov | Shashank Srivastava | Tom Mitchell |

Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes NAACL

Snigdha Chaturvedi | Shashank Srivastava | Dan Roth |

Zero-shot Learning of Classifiers from Natural Language Quantification ACL

Shashank Srivastava | Igor Labutov | Tom Mitchell |

A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text ACL

Shashank Srivastava | Nebojsa Jojic |

Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP

Shashank Srivastava | Igor Labutov | Tom Mitchell |

Vector space semantics with frequency-driven motifs ACL

Shashank Srivastava | Eduard Hovy |

A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations EMNLP

Shashank Srivastava | Dirk Hovy | Eduard Hovy |

A Structured Distributional Semantic Model for Event Co-reference ACL

Identifying Metaphorical Word Use with Tree Kernels WS

A Structured Distributional Semantic Model : Integrating Structure with Semantics WS