Nihal Nayak

3 papers · 2022–2024 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 👥 Mega-Team · Squad ❓ The Questioner

Venues

ACL (1) EACL (1) ICLR (1)

Top co-authors

Stephen Bach (3) Albert Webson (1) Colin Raffel (1) Ryan Teehan (1) Arnaud Stiegler (1) Sheng Shen (1) Andrea Santilli (1) Abheesht Sharma (1) Leo Gao (1) Thomas Wang (1)

Research topics

Deep Learning (3) Artificial Intelligence (2) Machine Learning (2) Core AI (2) Learning Types · Deep Learning (2) Natural Language Processing (1) Architectures (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Optimization & Theory (1) Resources & Methods (1)

Keywords

large language model (2) domain adaptation (1) synthetic data generation (1) instruction tuning (1) vision-language model (1) zero-shot generalization (1) synthetic dataset (1) encoder-decoder model (1) concept binding (1) task generation (1) zero-shot task adaptation (1) multi-task learning (1) prompted training (1)

Papers

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models EACL 2024 Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation ACL 2024 Multitask Prompted Training Enables Zero-Shot Task Generalization ICLR 2022