21 citations · 27 across the 4 of their papers we have counts for
5 papers
ListQA: A Benchmark for Evaluating List-Formatted Factual Knowledge Retrieval in Large Language Models
Mayank Kulkarni, Rakesh Vaideeswaran
Many real-world questions demand not a single fact but an organized collection of them, yet existing factual knowledge benchmarks almost exclusively target single answer retrieval.…
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning
Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan +5
Real-life multilingual systems should be able to efficiently incorporate new languages as data distributions fed to the system evolve and shift over time. To do this, systems need…
EntSUM: A Data Set for Entity-Centric Summarization
Mounica Maddela, Mayank Kulkarni, Daniel Preotiuc-Pietro
Controllable summarization aims to provide summaries that take into account user-specified aspects and preferences to better assist them with their information need, as opposed to…
Learning Rich Representation of Keyphrases from Text
Mayank Kulkarni, Debanjan Mahata, Ravneet Arora +1
In this work, we explore how to train task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different maski…
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings
Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni +7
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented us…