Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t! insights WS

Varun Nathan | Ayush Kumar | Digvijay Ingle |

Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries TrustNLP WS

Kevin Patel | Suraj Agrawal | Ayush Kumar |

The Paradox of Preference: A Study on LLM Alignment Algorithms and Data Acquisition Methods insights WS

Rishikesh Devanathan | Varun Nathan | Ayush Kumar |

Investigating the Role and Impact of Disfluency on Summarization EMNLP

Varun Nathan | Ayush Kumar | Jithendra Vepa |

The Bull and the Bear: Summarizing Stock Market Discussions LREC

Ayush Kumar | Dhyey Jani | Jay Shah | Devanshu Thakar | Varun Jain | Mayank Singh |

What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study BlackboxNLP EMNLP

Ayush Kumar | Mukuntha Narayanan Sundararaman | Jithendra Vepa |

BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text COLING SemEval

Ayush Kumar | Harsh Agarwal | Keshav Bansal | Ashutosh Modi |

A Hybrid Deep Learning Architecture for Sentiment Analysis COLING

Md Shad Akhtar | Ayush Kumar | Asif Ekbal | Pushpak Bhattacharyya |

OCR++: A Robust Framework For Information Extraction from Scholarly Articles COLING

Mayank Singh | Barnopriyo Barua | Priyank Palod | Manvi Garg | Sidhartha Satapathy | Samuel Bushi | Kumar Ayush | Krishna Sai Rohith | Tulasi Gamidi | Pawan Goyal | Animesh Mukherjee |

IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis *SEMEVAL

Ayush Kumar | Sarah Kohail | Amit Kumar | Asif Ekbal | Chris Biemann |

IITPSemEval: Sentiment Discovery from 140 Characters *SEMEVAL

Ayush Kumar | Vamsi Krishna | Asif Ekbal |