Behnam Hedayatnia
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 20 papers; trusts 248 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 392 citations into it; #26,695 of 35,345 by trust here, #6,330 by citations
- Natural Language Processing — 388 citations into it; #3,024 of 5,688 by trust here, #1,130 by citations
- Evaluation & Benchmarks — 101 citations into it
- Computer Vision and Pattern Recognition — 93 citations into it
- Large Language Models — 54 citations into it
- Knowledge Graphs & Representation — 22 citations into it
- Dialogue & Conversational AI — 19 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
Whom Behnam Hedayatnia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alec Radford
- Oriol Vinyals
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
- Kaiming He
Who trusts Behnam Hedayatnia overall
- Shikib Mehri
- Kurt Shuster
- Emily Dinan
- Pei Zhou
- Raefer Gabriel
- Jing Xu
- Yang Liu
- Maxine Eskénazi
- Amanda Cercas Curry
- Chandra Khatri
Papers from Behnam Hedayatnia's perspective
Ordered by how strongly the researchers Behnam Hedayatnia trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- On Evaluating and Comparing Conversational Agents (2018) — 85 citations
- Conversational AI: The Science Behind the Alexa Prize (2018) — 301 citations
- Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators (2019) — 66 citations
- Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018) — 87 citations
- Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision (2018) — 33 citations
- Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks (2020) — 41 citations
- Contextual Language Model Adaptation for Conversational Agents (2018) — 26 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines (2022) — 6 citations
- What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation (2022) — 23 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Commonsense-Focused Dialogues for Response Generation: An Empirical Study (2021) — 50 citations
- Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation (2021) — 45 citations
- Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation (2021) — 41 citations
- Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation (2021) — 10 citations
- Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems (2020) — 26 citations
- Further Advances in Open Domain Dialog Systems in the Third Alexa Prize Socialbot Grand Challenge (2020)
- Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations (2019) — 367 citations
- On Evaluating and Comparing Open Domain Dialog Systems (2018) — 45 citations
- Contextual Topic Modeling For Dialog Systems (2018) — 26 citations