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Researcher profile

Devamanyu Hazarika

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation

    2022 · Proceedings of the AAAI Conference on Artificial Intelligence

    Controlling neural network-based models for natural language generation (NLG) to realize desirable attributes in the generated outputs has broad applications in numerous areas such as machine translation, document summarization, and dialog systems. Approaches that enable …

  2. Using In-Context Learning to Improve Dialogue Safety

    2023 · arXiv (Cornell University)

    While large neural-based conversational models have become increasingly proficient dialogue agents, recent work has highlighted safety issues with these systems. For example, these systems can be goaded into generating toxic content, which often perpetuates social …

  3. Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language

    2023 · arXiv (Cornell University)

    Learning from human feedback is a prominent technique to align the output of large language models (LLMs) with human expectations. Reinforcement learning from human feedback (RLHF) leverages human preference signals that are in the form …

  4. A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks

    2016 · arXiv (Cornell University)

    Sarcasm detection is a key task for many natural language processing tasks. In sentiment analysis, for example, sarcasm can flip the polarity of an "apparently positive" sentence and, hence, negatively affect polarity detection performance. To …

  5. Recent Trends in Deep Learning Based Natural Language Processing

    2017 · arXiv (Cornell University)

    Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the context of …

  6. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

    2018 · IEEE Computational Intelligence Magazine

    Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the context of …