no code implementations • 19 Nov 2024 • Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
Recent advancements in code completion models have primarily focused on local file contexts.
no code implementations • 1 Oct 2024 • Daniel Melcer, Sujan Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
It is common to reject undesired outputs of Large Language Models (LLMs); however, current methods to do so require an excessive amount of computation, or severely distort the distribution of outputs.
no code implementations • 13 Jul 2024 • Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
Our findings reveal that Code LLMs struggle with low frequency APIs: for e. g., GPT-4o achieves only 38. 58% valid low frequency API invocations.
no code implementations • 4 Feb 2023 • Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
In this work, we consider the setting where a query for similar images is derived from a collection of images.
1 code implementation • 3 Oct 2022 • 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
Specifically, we attain $44\%$ relative improvement on the Semantic Textual Similarity tasks and $34\%$ on Code-to-Code Search tasks.
1 code implementation • 30 Jun 2022 • Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
How can we visualize the internal modeling of multimodal interactions in these models?
no code implementations • 22 Sep 2021 • Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay
While this dataset is specialized for our investigations on color, the method can be extended to other visual dimensions where composition is of interest.