activity
20212025
most citedPhi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

163 citations · 173 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning

Sanchit Ahuja, Praneetha Vaddamanu, Barun Patra

Despite recent advances in Language Reasoning Models (LRMs), most research focuses solely on English, even though many models are pretrained on multilingual data. In this work, we…

cs.CL2025★ 7 cited

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Microsoft, :, Abdelrahman Abouelenin +73

We introduce Phi-4-Mini and Phi-4-Multimodal, compact yet highly capable language and multimodal models. Phi-4-Mini is a 3.8-billion-parameter language model trained on high-qualit…

cs.CL2024

Scaling Laws for Multilingual Language Models

Yifei He, Alon Benhaim, Barun Patra +6

We propose a novel scaling law for general-purpose decoder-only language models (LMs) trained on multilingual data, tackling the problem of balancing languages during multilingual…

cs.CL2024★ 163 cited

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Marah Abdin, Jyoti Aneja, Hany Awadalla +126

We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal test…

cs.CV2023★ 1 cited

Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention

Jianjin Xu, Saman Motamed, Praneetha Vaddamanu +4

Face inpainting is important in various applications, such as photo restoration, image editing, and virtual reality. Despite the significant advances in face generative models, ens…

cs.CL2023★ 2 cited

Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions

Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu +2

Societal biases present in pre-trained large language models are a critical issue as these models have been shown to propagate biases in countless downstream applications, renderin…

cs.CV2023

Self-supervised Multi-view Disentanglement for Expansion of Visual Collections

Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari +2

Image search engines enable the retrieval of images relevant to a query image. In this work, we consider the setting where a query for similar images is derived from a collection o…

cs.CV2021

Generating Compositional Color Representations from Text

Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu +3

We consider the cross-modal task of producing color representations for text phrases. Motivated by the fact that a significant fraction of user queries on an image search engine fo…