Publications

13 results for Mayank Agarwal

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
- - Kinjal Basu
  - Ibrahim Abdelaziz
  - et al.
- 2025
- EMNLP 2025
Conference paper
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
- - Ibrahim Abdelaziz
  - Kinjal Basu
  - et al.
- 2024
- EMNLP 2024
Conference paper
Aligners: Decoupling LLMs and Alignment
- - Mikhail Yurochkin
  - Lilian Ngweta
  - et al.
- 2024
- EMNLP 2024
Paper
Granite code models: A family of open foundation models for code intelligence
- - Mayank Mishra
  - Matthew Stallone
  - et al.
- 2024
- arXiv
Paper
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Conference paper
Aligners: Decoupling LLMs and Alignment
- - Lilian Ngweta
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Short paper
Dialogue System with Missing Observation
- - Djallel Bouneffouf
  - Mayank Agarwal
  - et al.
- 2023
- ICASSP 2023
Conference paper
User and Technical Perspectives of Controllable Code Generation
- - Stephanie Houde
  - Vignesh Radhakrishna
  - et al.
- 2022
- NeurIPS 2022
Workshop paper
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering
- - Michael Muller
  - Steven Ross
  - et al.
- 2022
- IUI 2022
Workshop paper
Opportunities for Generative AI in UX Modernization
- - Stephanie Houde
  - Steven Ross
  - et al.
- 2022
- IUI 2022
Workshop paper