34 citations · 42 across the 16 of their papers we have counts for
17 papers
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-Sample Aggregation on Large Language Models
Jayanth Mohan, Jishnu Ray Chowdhury, Tomas Malik +1
Keyphrases are the essential topical phrases that summarize a document. Keyphrase generation is a long-standing NLP task for automatically generating keyphrases for a given documen…
Zero-Shot Verification-guided Chain of Thoughts
Jishnu Ray Chowdhury, Cornelia Caragea
Previous works have demonstrated the effectiveness of Chain-of-Thought (COT) prompts and verifiers in guiding Large Language Models (LLMs) through the space of reasoning. However,…
On the Design Space Between Transformers and Recursive Neural Nets
Jishnu Ray Chowdhury, Cornelia Caragea
In this paper, we study two classes of models, Recursive Neural Networks (RvNNs) and Transformers, and show that a tight connection between them emerges from the recent development…
Investigating Recurrent Transformers with Dynamic Halt
Jishnu Ray Chowdhury, Cornelia Caragea
In this paper, we comprehensively study the inductive biases of two major approaches to augmenting Transformers with a recurrent mechanism: (1) the approach of incorporating a dept…
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
Jishnu Ray Chowdhury, Cornelia Caragea
Binary Balanced Tree RvNNs (BBT-RvNNs) enforce sequence composition according to a preset balanced binary tree structure. Thus, their non-linear recursion depth is just …
Efficient Beam Tree Recursion
Jishnu Ray Chowdhury, Cornelia Caragea
Beam Tree Recursive Neural Network (BT-RvNN) was recently proposed as a simple extension of Gumbel Tree RvNN and it was shown to achieve state-of-the-art length generalization perf…
Beam Tree Recursive Cells
Jishnu Ray Chowdhury, Cornelia Caragea
We propose Beam Tree Recursive Cell (BT-Cell) - a backpropagation-friendly framework to extend Recursive Neural Networks (RvNNs) with beam search for latent structure induction. We…
Monotonic Location Attention for Length Generalization
Jishnu Ray Chowdhury, Cornelia Caragea
We explore different ways to utilize position-based cross-attention in seq2seq networks to enable length generalization in algorithmic tasks. We show that a simple approach of inte…
Data Augmentation for Low-Resource Keyphrase Generation
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Keyphrase generation is the task of summarizing the contents of any given article into a few salient phrases (or keyphrases). Existing works for the task mostly rely on large-scale…
Neural Keyphrase Generation: Analysis and Evaluation
Tuhin Kundu, Jishnu Ray Chowdhury, Cornelia Caragea
Keyphrase generation aims at generating topical phrases from a given text either by copying from the original text (present keyphrases) or by producing new keyphrases (absent keyph…
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang
Paraphrase generation is a fundamental and long-standing task in natural language processing. In this paper, we concentrate on two contributions to the task: (1) we propose Retriev…
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation
Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea
We study the task of predicting a set of salient questions from a given paragraph without any prior knowledge of the precise answer. We make two main contributions. First, we propo…
Keyphrase Generation Beyond the Boundaries of Title and Abstract
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Keyphrase generation aims at generating important phrases (keyphrases) that best describe a given document. In scholarly domains, current approaches have largely used only the titl…
KPDrop: Improving Absent Keyphrase Generation
Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu +1
Keyphrase generation is the task of generating phrases (keyphrases) that summarize the main topics of a given document. Keyphrases can be either present or absent from the given do…
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
Jishnu Ray Chowdhury, Cornelia Caragea
Recursive Neural Networks (RvNNs), which compose sequences according to their underlying hierarchical syntactic structure, have performed well in several natural language processin…
On Identifying Hashtags in Disaster Twitter Data
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
Tweet hashtags have the potential to improve the search for information during disaster events. However, there is a large number of disaster-related tweets that do not have any use…
Keyphrase Extraction from Disaster-related Tweets
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
While keyphrase extraction has received considerable attention in recent years, relatively few studies exist on extracting keyphrases from social media platforms such as Twitter, a…