3 citations · 6 across the 9 of their papers we have counts for
9 papers
EGR: Embedding-Native Generative Retrieval with a Shared LLM
Xiaodong Liu, Congfei Zhang, Hsiang-wei Chao +13
Generative retrieval is increasingly popular in large-scale recommendation and advertising systems, yet current methods introduce practical complications. Semantic-ID methods rely…
Debiasing Large Language Models toward Social Factors in Online Behavior Analytics through Prompt Knowledge Tuning
Hossein Salemi, Jitin Krishnan, Hemant Purohit
Attribution theory explains how individuals interpret and attribute others' behavior in a social context by employing personal (dispositional) and impersonal (situational) causalit…
TRAIL: Trace Reasoning and Agentic Issue Localization
Darshan Deshpande, Varun Gangal, Hersh Mehta +3
The increasing adoption of agentic workflows across diverse domains brings a critical need to scalably and systematically evaluate the complex traces these systems generate. Curren…
Representation Deficiency in Masked Language Modeling
Yu Meng, Jitin Krishnan, Sinong Wang +6
Masked Language Modeling (MLM) has been one of the most prominent approaches for pretraining bidirectional text encoders due to its simplicity and effectiveness. One notable concer…
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augme…
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task…
Common-Knowledge Concept Recognition for SEVA
Jitin Krishnan, Patrick Coronado, Hemant Purohit +1
We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowled…
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling da…
Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Domain adaptation approaches seek to learn from a source domain and generalize it to an unseen target domain. At present, the state-of-the-art unsupervised domain adaptation approa…