Prateek Jain

Quantum-classical generative models for drug design

Prateek Jain, Srinjoy Ganguly

Abstract In molecular research, the modelling and analysis of molecules through simulation is an important part that has a direct influence on medical development, material science and drug discovery. The processing power required to design protein chains with hundreds of peptides is …

in, us, gb (code pays fourni par la source)

Subacute Diarrhea: A Rare Presentation of Anaplastic T‐Cell Lymphoma

Nivedita Singh, Prateek Jain, Julian Chung, Amrit Devkota et autres

Enteropathy-associated T-cell lymphoma type II should be considered in older patients who present with subacute diarrhea, abdominal pain, and cytopenias-even in the absence of celiac disease. Its rapid progression to bowel perforation demands prompt recognition and a multidisciplinary approach to improve outcomes.

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Spark Transformer: Reactivating Sparsity in FFN and Attention

Chong You, Kan Wu, Z. Jiao, Lin Chen et autres

The discovery of the lazy neuron phenomenon in trained Transformers, where the vast majority of neurons in their feed-forward networks (FFN) are inactive for each token, has spurred tremendous interests in activation sparsity for enhancing large model efficiency. While notable progress has …

Masked Generative Nested Transformers with Decode Time Scaling

S. B. Goyal, Debapriya Tula, Pradeep Shenoy, Prateek Jain et autres

Recent advances in visual generation have made significant strides in producing content of exceptional quality. However, most methods suffer from a fundamental problem - a bottleneck of inference computational efficiency. Most of these algorithms involve multiple passes over a transformer model to …

Comparative investigation of friction stir welding and arc welding process for AA 6063 T6 aluminium alloy

Manisha Sharma, Rohan Rohan, Prateek Jain, Vivek Singh et autres

in (code pays fourni par la source)

Topological Quantum Computing for Engineers

Srinjoy Ganguly, Shalini Devendrababu, Hasan Mustafa, Prateek Jain et autres

us, co (code pays fourni par la source)

Quantum Simulation of 1D and 2D Lattice-Based Magnetic Quantum Systems Using Heisenberg Model via Variational Quantum Eigensolver

Shalini Devendrababu, Srinjoy Ganguly, Prateek Jain, Hasan Mustafa et autres

us, co (code pays fourni par la source)

Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?

Sravanti Addepalli, Yerram Varun, Arun Sai Suggala, Prateek Jain

Large Language Models (LLMs) are known to be susceptible to crafted adversarial attacks or jailbreaks that lead to the generation of objectionable content despite being aligned to human preferences using safety fine-tuning methods. While the large dimensionality of input token space makes …

Time-Reversal Provides Unsupervised Feedback to LLMs

Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Sai Suggala et autres

Large Language Models (LLMs) are typically trained to predict in the forward direction of time. However, recent works have shown that prompting these models to look back and critique their own generations can produce useful feedback. Motivated by this, we explore the …

Exploring the Fundamental Concepts of Machine Learning for Medical Enhancement

Rohit Bathla, Prateek Jain, Rachna Behl, Abhishek Saxena

Machine learning (ML), a subset of artificial intelligence (AI), has recently gained prominence in the technology domain and is driving advancements in the healthcare system. This innovation enables healthcare professionals to prioritize patient diagnosis over time-consuming and intricate treatment procedures, significantly transforming …

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Gecko: Versatile Text Embeddings Distilled from Large Language Models

Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen et autres

We present Gecko, a compact and versatile text embedding model. Gecko achieves strong retrieval performance by leveraging a key idea: distilling knowledge from large language models (LLMs) into a retriever. Our two-step distillation process begins with generating diverse, synthetic paired data using …

Quantum Simulation of 1D & 2D Lattice-based Fermi Hubbard Model using Variational Quantum Algorithms

D Shalini, Srinjoy Ganguly, Prateek Jain

Quantum simulation and near-term quantum algorithms have gained significant momentum over the past few years, with researchers exploring quantum-based approaches to solve classically intractable problems. Out of many research problems, certain problems are well suited for quantum algorithms. Fermi Hubbard model based …