Devamanyu Hazarika

76 papers A* 11A 1B 3Misc 1Journal 41Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. ICLR Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025	J	`jnl`	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. CoRR Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025	A*	`conf`	Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs. EMNLP Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar
2024	—	`conf`	From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. EMNLP (Findings) Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu
2024	J	`jnl`	From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. CoRR Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu
2023	B	`conf`	"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. SIGDIAL Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. CoRR Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. IEEE Trans. Affect. Comput. Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea
2023	A*	`conf`	CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. EMNLP Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tur, Yang Liu, Mahdi Namazifar
2023	J	`jnl`	CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. CoRR Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tür, Yang Liu, Mahdi Namazifar
2023	J	`jnl`	Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language. CoRR Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar
2023	—	`conf`	KILM: Knowledge Injection into Encoder-Decoder Language Models. ACL (1) Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür
2023	J	`jnl`	KILM: Knowledge Injection into Encoder-Decoder Language Models. CoRR Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür
2023	Misc	`conf`	Role of Bias Terms in Dot-Product Attention. ICASSP Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tür
2023	J	`jnl`	Role of Bias Terms in Dot-Product Attention. CoRR Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tur
2023	A	`conf`	Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. EACL Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. CoRR Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
2023	—	`conf`	Using In-Context Learning to Improve Dialogue Safety. EMNLP (Findings) Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur
2023	J	`jnl`	Using In-Context Learning to Improve Dialogue Safety. CoRR Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür
2022	—	`conf`	Analyzing Modality Robustness in Multimodal Sentiment Analysis. NAACL-HLT Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria
2022	J	`jnl`	Analyzing Modality Robustness in Multimodal Sentiment Analysis. CoRR Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria
2022	A*	`conf`	Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation. AAAI Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür
2022	—	`conf`	Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. NAACL-HLT (Findings) Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. CoRR Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication. IEEE Access Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria
2022	A*	`conf`	Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
2022	J	`jnl`	Multimodal research in vision and language: A review of current and emerging trends. Inf. Fusion Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh
2022	—	`conf`	So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. ACL (1) Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria
2022	J	`jnl`	So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. CoRR Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria
2022	—	`conf`	Zero-Shot Visual Emotion Recognition by Exploiting BERT. IntelliSys (2) Hyunwook Kang, Devamanyu Hazarika, Dongho Kim, Jihie Kim
2021	J	`jnl`	Conversational transfer learning for emotion recognition. Inf. Fusion Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea
2021	—	`conf`	Domain Divergences: A Survey and Empirical Analysis. NAACL-HLT Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann
2021	J	`jnl`	Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication. CoRR Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria
2021	J	`jnl`	Recognizing Emotion Cause in Conversations. Cogn. Comput. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea
2021	J	`jnl`	Zero-Shot Controlled Generation with Encoder-Decoder Transformers. CoRR Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür
2020	J	`jnl`	Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. CoRR Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea
2020	J	`jnl`	Domain Divergences: a Survey and Empirical Analysis. CoRR Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann
2020	J	`jnl`	Emerging Trends of Multimodal Research in Vision and Language. CoRR Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh
2020	A*	`conf`	KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis. ACL Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria
2020	J	`jnl`	KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis. CoRR Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria
2020	A*	`conf`	MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. ACM Multimedia Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria
2020	J	`jnl`	MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. CoRR Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria
2020	—	`conf`	Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
2020	J	`jnl`	Recognizing Emotion Cause in Conversations. CoRR Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea
2019	J	`jnl`	Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. CoRR Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
2019	A*	`conf`	DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. AAAI Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria
2019	J	`jnl`	Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. CoRR Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea
2019	—	`conf`	MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. ACL (1) Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea
2019	—	`conf`	Multi-task Learning for Detecting Stance in Tweets. CICLing (2) Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann
2019	—	`conf`	Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). ACL (1) Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria
2019	J	`jnl`	Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). CoRR Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria
2018	—	`conf`	Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. CICLing (2) Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
2018	B	`conf`	CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. COLING Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea
2018	J	`jnl`	CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. CoRR Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea
2018	—	`conf`	Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. NAACL-HLT Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann
2018	J	`jnl`	DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. CoRR Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria
2018	A*	`conf`	ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. EMNLP Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann
2018	J	`jnl`	MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. CoRR Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea
2018	—	`conf`	Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. NAACL-HLT (2) Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann
2018	J	`jnl`	Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling. CoRR Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria
2018	J	`jnl`	Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines. IEEE Intell. Syst. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander F. Gelbukh, Amir Hussain
2018	J	`jnl`	Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines. CoRR Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Amir Hussain, Alexander F. Gelbukh
2018	J	`jnl`	Multimodal sentiment analysis using hierarchical fusion with context modeling. Knowl. Based Syst. Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria
2018	J	`jnl`	Recent Trends in Deep Learning Based Natural Language Processing [Review Article]. IEEE Comput. Intell. Mag. Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria
2018	—	`conf`	Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection. MIPR Devamanyu Hazarika, Sruthi Gorantla, Soujanya Poria, Roger Zimmermann
2018	A*	`conf`	SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. AAAI Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok
2017	—	`conf`	Benchmarking Multimodal Sentiment Analysis. CICLing (2) Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam
2017	J	`jnl`	Benchmarking Multimodal Sentiment Analysis. CoRR Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam
2017	—	`conf`	Context-Dependent Sentiment Analysis in User-Generated Videos. ACL (1) Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency
2017	A*	`conf`	Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. ICDM Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency
2017	J	`jnl`	Recent Trends in Deep Learning Based Natural Language Processing. CoRR Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria
2017	J	`jnl`	Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation. CoRR Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya
2017	—	`conf`	Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation. ICCV Workshops Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya
2016	B	`conf`	A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. COLING Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij
2016	J	`jnl`	A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. CoRR Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij