For a complete list, kindly refer to my Google Scholar page.
You can also find some of my latest works in  Amazon Science


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



"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


KILM: Knowledge Injection into Encoder-Decoder Language Models  (Oral)

Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür, ACL 2023 


Selective in-context data augmentation for intent detection using pointwise V-information

Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tür, EACL 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 

[Paper] [Slides]

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 

[Paper] [Code] [Slides]

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer (Oral)

Aabhinav Kashyap*, Devamanyu Hazarika*, Min-Yen Kan, Roger Zimmermann, Soujanya Poria, ACL 2022  *Equal Contribution

[Paper] [Code]

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation

Devamanyu Hazarika, Mahdi Namazifar, and Dilek Hakkani-Tur, AAAI 2022   

[Paper] [Arxiv]

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 

[Paper] [Code]

Kingdom: Knowledge-Guided Domain Adaptation for Sentiment Analysis

D Ghosal, D Hazarika, A Roy, N Majumder, R Mihalcea, S Poria, ACL 2020 

[Paper] [Code]

Towards Multimodal Sarcasm Detection (An Obviously Perfect Paper)

S Castro, D Hazarika, V Pérez-Rosas, R Zimmermann, R Mihalcea, S Poria, ACL 2020 

[Paper] [Code]


Contextually Grounded Affective Analysis of Media

D Hazarika, Thesis '21  

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  

[Paper] [Code]

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 

[Paper] [Code]


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   

[Paper] [Code]