"I am borrowing ya mixing ?" An Analysis of English-Hindi Code Mixing in Facebook. - Kalika Bali; Jatin Sharma; Monojit Choudhury; Yogarshi Vyas (CodeSwitch@EMNLP, 2014)

Word-level Language Identification using CRF: Code-switching Shared Task Report of MSR India System. - Gokul Chittaranjan; Yogarshi Vyas; Kalika Bali; Monojit Choudhury (CodeSwitch@EMNLP, 2014)

POS Tagging of English-Hindi Code-Mixed Social Media Content. - Yogarshi Vyas; Spandana Gella; Jatin Sharma; Kalika Bali; Monojit Choudhury (EMNLP, 2014)

Improving unsupervised query segmentation using parts-of-speech sequence information. - Rishiraj Saha Roy; Yogarshi Vyas; Niloy Ganguly; Monojit Choudhury (SIGIR, 2014)

Class-based N-gram language difference models for data selection. - Amittai Axelrod; Yogarshi Vyas; Marianna J. Martindale; Marine Carpuat (IWSLT, 2015)

Parser for Abstract Meaning Representation using Learning to Search. - Sudha Rao; Yogarshi Vyas; Hal Daumé III; Philip Resnik (CoRR, 2015)

Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment. - Yogarshi Vyas; Marine Carpuat (HLT-NAACL, 2016)

CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search. - Sudha Rao; Yogarshi Vyas; Hal Daumé III; Philip Resnik (SemEval@NAACL-HLT, 2016)

Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation. - Marine Carpuat; Yogarshi Vyas; Xing Niu 001 (NMT@ACL, 2017)

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. - Mohit Iyyer; Varun Manjunatha; Anupam Guha; Yogarshi Vyas; Jordan L. Boyd-Graber; Hal Daumé III; Larry S. Davis (CVPR, 2017)

Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection. - Yogarshi Vyas; Marine Carpuat (*SEM, 2017)

Robust Cross-Lingual Hypernymy Detection Using Dependency Context. - Shyam Upadhyay; Yogarshi Vyas; Marine Carpuat; Dan Roth 001 (NAACL-HLT, 2018)

Identifying Semantic Divergences in Parallel Text without Annotations. - Yogarshi Vyas; Xing Niu 001; Marine Carpuat (NAACL-HLT, 2018)

Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation. - Yogarshi Vyas; Marine Carpuat (EMNLP/IJCNLP (1), 2019)

Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. - Miguel Ballesteros; Rishita Anubhai; Shuai Wang; Nima Pourdamghani; Yogarshi Vyas; Jie Ma 005; Parminder Bhatia; Kathleen R. McKeown; Yaser Al-Onaizan (EMNLP (1), 2020)

Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. - Yogarshi Vyas; Miguel Ballesteros (NAACL-HLT, 2021)

Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics. - Paula Czarnowska; Yogarshi Vyas; Kashif Shah (Trans. Assoc. Comput. Linguistics, 2021)

Efficient Classification of Long Documents Using Transformers. - Hyunji Hayley Park; Yogarshi Vyas; Kashif Shah (ACL (2), 2022)

Characterizing and Measuring Linguistic Dataset Drift. - Tyler A. Chang; Kishaloy Halder; Neha Anna John; Yogarshi Vyas; Yassine Benajiba; Miguel Ballesteros; Dan Roth 001 (ACL (1), 2023)

Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. - Muhammad Khalifa; Yogarshi Vyas; Shuai Wang; Graham Horwood; Sunil Mallya; Miguel Ballesteros (ACL (Findings), 2023)

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. - Katerina Margatina; Shuai Wang; Yogarshi Vyas; Neha Anna John; Yassine Benajiba; Miguel Ballesteros (EACL, 2023)

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. - Ming Shen; Jie Ma 005; Shuai Wang; Yogarshi Vyas; Kalpit Dixit; Miguel Ballesteros; Yassine Benajiba (EACL (Findings), 2023)

A Multi-Modal Multilingual Benchmark for Document Image Classification. - Yoshinari Fujinuma; Siddharth Varia; Nishant Sankaran; Srikar Appalaraju; Bonan Min; Yogarshi Vyas (EMNLP (Findings), 2023)

Taxonomy Expansion for Named Entity Recognition. - Karthikeyan K; Yogarshi Vyas; Jie Ma 005; Giovanni Paolini; Neha Anna John; Shuai Wang; Yassine Benajiba; Vittorio Castelli; Dan Roth 001; Miguel Ballesteros (EMNLP, 2023)

Comparing Biases and the Impact of Multilingual Training across Multiple Languages. - Sharon Levy; Neha Anna John; Ling Liu; Yogarshi Vyas; Jie Ma 005; Yoshinari Fujinuma; Miguel Ballesteros; Vittorio Castelli; Dan Roth 001 (EMNLP, 2023)

Exploration of Plan-Guided Summarization for Narrative Texts: the Case of Small Language Models. - Matt Grenander; Siddharth Varia; Paula Czarnowska; Yogarshi Vyas; Kishaloy Halder; Bonan Min (CoRR, 2025)