Devamanyu Hazarika
26 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (65) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Dynamic Duo
(13)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
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The Questioner
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(134)
Top co-authors
Research topics
Artificial Intelligence
(22)
Machine Learning
(20)
Natural Language Processing
(19)
Core AI
(18)
Deep Learning
(14)
Learning Types Β· Deep Learning
(11)
Applications
(10)
Core Methods
(10)
Application Areas
(9)
Generation
(8)
Learning Types Β· Machine Learning
(7)
Architectures
(6)
Learning Paradigms
(4)
Resources & Methods
(4)
Models
(3)
Keywords
multimodal learning
(6)
sentiment analysis
(5)
text classification
(4)
zero-shot learning
(4)
video understanding
(3)
dialogue system
(3)
emotion recognition
(3)
domain adaptation
(3)
sentiment classification
(3)
sarcasm detection
(3)
adapter tuning
(2)
convolutional neural network
(2)
recurrent neural network
(2)
model robustness
(2)
multimodal sentiment analysis
(2)
natural language generation
(2)
transfer learning
(2)
attention mechanism
(2)
conversational ai
(2)
parameter-efficient transfer learning
(2)
Papers
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
ICLR 2025
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
EMNLP 2025
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues
EMNLP 2024
CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs
EMNLP 2023
KILM: Knowledge Injection into Encoder-Decoder Language Models
ACL 2023
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
EACL 2023
Using In-Context Learning to Improve Dialogue Safety
EMNLP 2023
Analyzing Modality Robustness in Multimodal Sentiment Analysis
NAACL 2022
Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation
AAAI 2022
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention
NAACL 2022
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning
EMNLP 2022
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer
ACL 2022
Analyzing the Domain Robustness of Pretrained Language Models, Layer by Layer
EACL 2021
Causal Augmentation for Causal Sentence Classification
EMNLP 2021
Domain Divergences: A Survey and Empirical Analysis
NAACL 2021
KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis
ACL 2020
Methods for Numeracy-Preserving Word Embeddings
EMNLP 2020
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
AAAI 2019
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
ACL 2019
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
ACL 2019
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
COLING 2018
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
NAACL 2018
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection
EMNLP 2018
Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis
NAACL 2018
Context-Dependent Sentiment Analysis in User-Generated Videos
ACL 2017
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
COLING 2016