4 citations · 7 across the 13 of their papers we have counts for
13 papers
ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation
Mingyang Wu, Ashirbad Mishra, Soumik Dey +5
Image-to-Video generation (I2V) animates a static image into a temporally coherent video sequence following textual instructions, yet preserving fine-grained object identity under…
Q-Router: Agentic Video Quality Assessment with Expert Model Routing and Artifact Localization
Shuo Xing, Soumik Dey, Mingyang Wu +5
Video quality assessment (VQA) is a fundamental computer vision task that aims to predict the perceptual quality of a given video in alignment with human judgments. Existing perfor…
Correctness Forensics for Batch Speculative Decoding: Diagnosing the Ragged Tensor Problem
Ranran Haoran Zhang, Soumik Dey, Ashirbad Mishra +3
Inference optimizations are routinely evaluated by throughput alone, without verifying output correctness. We conduct a forensic analysis of batch speculative decoding and find tha…
Performance and competence intertwined: A computational model of the Null Subject stage in English-speaking children
Soumik Dey, William Gregory Sakas
The empirically established null subject (NS) stage, lasting until about 4 years of age, involves frequent omission of subjects by children. Orfitelli and Hyams (2012) observe that…
LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
Soumik Dey, Benjamin Braun, Naveen Ravipati +2
E-commerce sellers are advised to bid on keyphrases to boost their advertising campaigns. These keyphrases must be relevant to prevent irrelevant items from cluttering Search syste…
BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations
Ashirbad Mishra, Jinyu Zhao, Soumik Dey +3
In the domain of sponsored search advertising, the focus of Keyphrase recommendation has largely been on exact match types, which pose issues such as high management expenses, limi…
To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
Soumik Dey, Hansi Wu, Binbin Li
E-commerce sellers are recommended keyphrases based on their inventory on which they advertise to increase buyer engagement (clicks/sales). The relevance of advertiser keyphrases p…
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
Soumik Dey, Wei Zhang, Hansi Wu +2
E-commerce sellers are recommended keyphrases based on their inventory on which they advertise to increase buyer engagement (clicks/sales). Keyphrases must be pertinent to items; o…
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
Ashirbad Mishra, Soumik Dey, Marshall Wu +5
Online sellers and advertisers are recommended keyphrases for their listed products, which they bid on to enhance their sales. One popular paradigm that generates such recommendati…
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Ranran Haoran Zhang, Bensu Uçar, Soumik Dey +3
Open-vocabulary Extreme Multi-label Classification (OXMC) extends traditional XMC by allowing prediction beyond an extremely large, predefined label set (typically to $10^{1…
GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
Ritabrata Roy Choudhury, Soumik Dey
This work uses the state-of-the-art language model GPT-3 to offer a novel method of information extraction for knowledge base development. The suggested method attempts to solve th…
Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
Ashirbad Mishra, Soumik Dey, Jinyu Zhao +3
Keyphrase Recommendation has been a pivotal problem in advertising and e-commerce where advertisers/sellers are recommended keyphrases (search queries) to bid on to increase their…
Analysis of Multidomain Abstractive Summarization Using Salience Allocation
Tohida Rehman, Raghubir Bose, Soumik Dey +1
This paper explores the realm of abstractive text summarization through the lens of the SEASON (Salience Allocation as Guidance for Abstractive SummarizatiON) technique, a model de…