Hazarika, Devamanyu

8 publications

ICLR 2025 Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
NeurIPSW 2024 LLM-PIRATE: A Benchmark for Indirect Prompt Injection Attacks in Large Language Models Anil Ramakrishna, Jimit Majmudar, Rahul Gupta, Devamanyu Hazarika
NeurIPSW 2023 Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar
NeurIPSW 2023 Supervised Fine-Tuning of Large Language Models on Human Demonstrations Through the Lens of Memorization Yubin Ge, Devamanyu Hazarika, Yang Liu, Mahdi Namazifar
AAAI 2022 Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür
AAAI 2019 DialogueRNN: An Attentive RNN for Emotion Detection in Conversations Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria
AAAI 2018 SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok
ICCVW 2017 Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya