Resume

Education

• BTech in Artificial Intelligence and Data Science, Indian Institute of Technology (IIT) Patna, Patna, India, July 2021 - May 2025 (Expected).

Publications

• LLM Based Generation of Item-Description for Recommendation System (RecSys 2023)
  Authors: Arkadeep Acharya, Brijraj Singh, Naoyuki Onoe
  Achieved results comparable to manual descriptions using LLMs like GPT-3.5 and Alpaca.
• CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare (AAAI 2024)
  Authors: Akash Ghosh*, Arkadeep Acharya*, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha
  Developed a framework integrating CLIP and LLMs for enhanced medical question summaries.
• MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries (ECIR 2024)
  Authors: Akash Ghosh, Arkadeep Acharya, Prince Jha, Aniket Gaudgaul, Rajdeep Majumdar, Sriparna Saha, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal
  Enhanced summarization of Hindi-English code-mixed queries for better healthcare decision-making.
• Hindi-BEIR: A Large Scale Retrieval Benchmark in Hindi
  Authors: Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar, Jaydeep Sen
  Created a diverse and comprehensive IR benchmark for Hindi.
• Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models (EMNLP 2023)
  Authors: Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat
  Benchmarked and analyzed LLMs on temporal reasoning tasks.
• Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
  Authors: Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Vinija Jain, Aman Chadha
  A survey detailing classifications, architectures, and future directions in Vision-Language Models.

Experience and Internships

IBM

Research Intern - AI, May 2024 - August 2024

• Worked on evaluating and developing multilingual information retrieval models for low-resource languages.

Sony Research India

Data Science Intern, May 2023 - July 2023

• Analyzed LLM capabilities for generating item descriptions, creating a dataset of 10,000 samples.
• Increased MRR by nearly 1%, with research paper accepted in RecSys 2023.

AI-NLP-ML Research Lab IIT Patna

Undergraduate Researcher, December 2022 - Present

• Developing and fine-tuning LLMs for various downstream tasks.
• Contributed to papers accepted in EMNLP 2023, AAAI 2024, and ECIR 2024.

Personal Projects

• Fine-tuning Stable Diffusion Model for Style Transfer
  Fine-tuned Stable Diffusion Models for custom style transfer using Low Rank Adaptation (LoRA).
• Multilingual Retriever System
  Developed a document retrieval system supporting over 100 languages.
• DevRev’s Domain Specific Question Answering
  Implemented a pipeline using domain-adaptable rankers and knowledge distillation, improving question answering accuracy.

Accomplishments

• Selected for MITACS 2024 Globalink Research Internship.
• Gold Medalist, 1st Position, 11th Inter IIT Tech Meet, DevRev’s Domain Specific Question Answering.
• Finalist, Smart India Hackathon 2022, organized by MHRD, Government of India.

Skills

• Programming/Development Languages: Python, SQL, C/C++
• Tools and Libraries: CUDA, Pytorch, HuggingFace, MySQL, Django
• Relevant Courses: Machine Learning and Data Science, Artificial Intelligence, Algorithms and Data Structures, Database Management Systems, Statistics

Societies/Extra-Curricular Activities

• Mentored over 50 students as Machine Learning Lead at GDSC IIT Patna.
• Coordinated video production for Anwesha TV and TEDxIITP, achieving significant viewership and engagement.