Search Results for author: Nihal Jain

Found 7 papers, 2 papers with code

Approximately Aligned Decoding

no code implementations1 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.

Computational Efficiency

On Mitigating Code LLM Hallucinations with API Documentation

no code implementations13 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.

Hallucination valid

Generating Compositional Color Representations from Text

no code implementations22 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.

Attribute Contrastive Learning +3

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