Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
- Ibrahim Abdelaziz
- Kinjal Basu
- et al.
- 2024
- EMNLP 2024
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12 results for Mayank Agarwal
Aligners: Decoupling LLMs and Alignment
- Mikhail Yurochkin
- Lilian Ngweta
- et al.
- 2024
- EMNLP 2024
Granite code models: A family of open foundation models for code intelligence
- Mayank Mishra
- Matthew Stallone
- et al.
- 2024
- arXiv
An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Aligners: Decoupling LLMs and Alignment
- Lilian Ngweta
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Dialogue System with Missing Observation
- Djallel Bouneffouf
- Mayank Agarwal
- et al.
- 2023
- ICASSP 2023
User and Technical Perspectives of Controllable Code Generation
- Stephanie Houde
- Vignesh Radhakrishna
- et al.
- 2022
- NeurIPS 2022
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering
- 2022
- IUI 2022
Opportunities for Generative AI in UX Modernization
- 2022
- IUI 2022
On sensitivity of meta-learning to support data
- Mayank Agarwal
- Mikhail Yurochkin
- et al.
- 2021
- NeurIPS 2021