Devamanyu Hazarika
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
11
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs. | Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar |
| 2025 | ICLR | Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. | Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin |
| 2024 | EMNLP | From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. | Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu |
| 2023 | ACL | KILM: Knowledge Injection into Encoder-Decoder Language Models. | Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tr |
| 2023 | EACL | 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-Tur |
| 2023 | EMNLP | CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. | Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tur, Yang Liu, Mahdi Namazifar |
| 2023 | EMNLP | Using In-Context Learning to Improve Dialogue Safety. | Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur |
| 2023 | ICASSP | Role of Bias Terms in Dot-Product Attention. | Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tr |
| 2023 | SIGdial | "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 |
| 2022 | AAAI | Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation. | Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tr |
| 2022 | ACL | So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. | Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria |
| 2022 | EMNLP | Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. | Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur |
| 2022 | NAACL | Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. | Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur |
| 2022 | NAACL | Analyzing Modality Robustness in Multimodal Sentiment Analysis. | Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria |
| 2021 | NAACL | Domain Divergences: A Survey and Empirical Analysis. | Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann |
| 2020 | ACL | KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis. | Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2020 | EMNLP | Methods for Numeracy-Preserving Word Embeddings. | Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin |
| 2019 | AAAI | DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. | Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria |
| 2019 | ACL | Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). | Santiago Castro, Devamanyu Hazarika, Vernica Prez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria |
| 2019 | ACL | MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. | Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea |
| 2019 | CICLING | Multi-task Learning for Detecting Stance in Tweets. | Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann |
| 2018 | AAAI | SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. | Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok |
| 2018 | CICLING | Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. | Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann |
| 2018 | COLING | CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. | Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea |
| 2018 | EMNLP | ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. | Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann |
| 2018 | NAACL | Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. | Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann |
| 2018 | NAACL | Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. | Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann |
| 2017 | ACL | Context-Dependent Sentiment Analysis in User-Generated Videos. | Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency |
| 2017 | CICLING | Benchmarking Multimodal Sentiment Analysis. | Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam |
| 2017 | ICDM | Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. | Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency |
| 2016 | COLING | A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. | Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij |