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

[Paper]

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning (Oral)

Yifan Chen*, Devamanyu Hazarika*, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur, 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-Tur, NAACL 2022  *Equal Contribution 

[Paper] 

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    

[Paper]

Methods for Numeracy-Preserving Word Embeddings

D Sundararaman, S Si, V Subramanian, G Wang, D Hazarika, L Carin, EMNLP 2020 

[Paper]

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 

[Paper]

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  

[Paper] 

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   

[Paper]

Causal Augmentation for Causal Sentence Classification

FA Tan, D Hazarika, S K Ng, S Poria, R Zimmermann, CL+NLP 2021   

[Paper] [Code]