Nihal Jain

PhD student, Columbia University

Joined

April 2022

Names

Nihal Jain (Preferred)

Emails

****@cs.cmu.edu (Confirmed)

****@gmail.com (Confirmed)

****@amazon.com (Confirmed)

****@columbia.edu (Confirmed)

****@proton.me (Confirmed)

Personal Links

Homepage

DBLP

ACL Anthology

Career & Education History

PhD student

Columbia University (columbia.edu)

2025 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Deep Learning

2019 – Present

Publications

Approximately Aligned Decoding
Daniel Melcer, Sujan Kumar Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
- NeurIPS 2025 poster
- Readers: Everyone
SageLite: Harmonizing Text and Code Through Multi-Stage Training
Dejiao Zhang, Sam Mayers, Jun Wang, Sanjay Krishna Gouda, Nihal Jain, Jiyang Zhang, Xiaofei Ma, Anoop Deoras
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Approximately Aligned Decoding
Daniel Melcer, Sujan Kumar Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
- Submitted to ICLR 2025
- Readers: Everyone
On Mitigating Code LLM Hallucinations with API Documentation
Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
- OpenReview Archive Direct Upload
- Readers: Everyone
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
- 2023 (modified: 18 Apr 2023)
- WSDM 2023
- Readers: Everyone
MultiViz: Towards Visualizing and Understanding Multimodal Models
Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
- Published: 01 Feb 2023, Last Modified: 06 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
ContraGen: Effective Contrastive Learning For Causal Language Model
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models
Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
- 2022 (modified: 19 Oct 2022)
- CoRR 2022
- Readers: Everyone
Generating Compositional Color Representations from Text
Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay
- 2021 (modified: 16 Nov 2022)
- CIKM 2021
- Readers: Everyone

Co-Authors

View all 42 co-authors