Sandhini Agarwal

5 papers · 2019–2023 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+2 more ↓

🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

🔥 Unstoppable · Bronze 📈 Trend Setter

Venues

NeurIPS (2) AAAI (1) ICML (1) NAACL (1)

Top co-authors

Amanda Askell (3) Chong Zhang (2) Jack Clark (2) Aditya Ramesh (2) Pamela Mishkin (2) Gretchen Krueger (2) Jeffrey Wu (2) Alec Radford (2) Ilya Sutskever (2) Girish Sastry (2)

Research topics

Artificial Intelligence (5) Core AI (4) Natural Language Processing (3) Learning Paradigms (3) Deep Learning (2) Machine Learning (2) Applications (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Reinforcement Learning (1) Core Methods (1) Generation (1) Methods (1)

Keywords

active learning (1) contrastive learning (1) zero-shot learning (1) few-shot learning (1) transfer learning (1) text classification (1) natural language inference (1) content moderation (1) multi-label classification (1) instruction following (1) language model alignment (1) reinforcement learning from human feedback (1) model alignment (1) autoregressive model (1) language model (1) reward model (1) foundation model (1) image-text pair (1) supervised fine-tuning (1) modular architecture (1)

Papers

A Holistic Approach to Undesired Content Detection in the Real World AAAI 2023 Training language models to follow instructions with human feedback NeurIPS 2022 Learning Transferable Visual Models From Natural Language Supervision ICML 2021 Language Models are Few-Shot Learners NeurIPS 2020 Recursive Routing Networks: Learning to Compose Modules for Language Understanding NAACL 2019