For a complete list, kindly refer to my Google Scholar page.
You can also find some of my latest works in Amazon Science
Pre-Prints
Using In-Context Learning to Improve Dialogue Safety
Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür, Arxiv
Conferences
"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge
Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur, Sigdial 2023
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning (Oral)
Yifan Chen*, Devamanyu Hazarika*, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tür , EMNLP 2022 *Equal Contribution
Empowering Parameter-Efficient Transfer Learning by Recognizing the Kernel
Structure in Attention
Yifan Chen*, Devamanyu Hazarika*, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tür, NAACL 2022 *Equal Contribution
Analyzing Modality Robustness in Multimodal Sentiment Analysis
Devamanyu Hazarika*, Y Li*, B Cheng, S Zhao, Roger Zimmermann, Soujanya Poria, NAACL 2022 *Equal Contribution
Domain Divergences: a Survey and Empirical Analysis
Abhinav Kashyap, Devamanyu Hazarika, Min-Yen Kan, and Roger Zimmermann, NAACL 2021
Methods for Numeracy-Preserving Word Embeddings
D Sundararaman, S Si, V Subramanian, G Wang, D Hazarika, L Carin, EMNLP 2020
Misa: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
D Hazarika, R Zimmermann, S Poria, ACM MM 2020
Journals
Recognizing Emotion Cause in Conversations
S Poria, N Majumder, D Hazarika, D Ghosal, R Bhardwaj, S Y B Jian, P Hong, R Ghosh, A Roy, N Chhaya, A Gelbukh, R Mihalcea, Cognitive Computation '21
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
S Poria, D Hazarika, N Majumder, R Mihalcea, IEEE Transactions on Affective Computing '20
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
S Uppal, S Bhagat, D Hazarika, N Majumder, S Poria, R Zimmermann, A Zadeh, Information Fusion '22
Conversational Transfer Learning for Emotion Recognition
D Hazarika, S Poria, R Zimmermann, R Mihalcea, Information Fusion '21
Workshops
Analyzing the Domain Robustness of Pretrained Language Models, Layer by Layer
AR Kashyap, L Mehnaz, B Malik, A Waheed, D Hazarika, M-Y Kan, and R Shah, Adapt-NLP, EACL 2021
Causal Augmentation for Causal Sentence Classification
FA Tan, D Hazarika, S K Ng, S Poria, R Zimmermann, CL+NLP 2021