activity
20232026
most citedExploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions

3 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seeking

Guransh Singh, Vishwajeet Kumar, Arkadeep Acharya +3

Flat retrieval-augmented generation treats a corpus as a bag of chunks, discarding document hierarchy and cross document structure. We introduce SearchWiki, a harness framework tha…

cs.AI2026

Spatial Matryoshka Training for Multi-Granularity Visual Document Retrieval

Trishan Singha Roy, Arkadeep Acharya, Vishwajeet Kumar +2

Multi-modal late-interaction retrievers achieve strong retrieval on visually rich documents by representing each page as per patch embeddings and matching at the token level. Howev…

cs.IR2025

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine

Arkadeep Acharya, Akash Ghosh, Pradeepika Verma +3

With the increasing use of RetrievalAugmented Generation (RAG), strong retrieval models have become more important than ever. In healthcare, multimodal retrieval models that combin…

cs.IR2024

Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5

Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar +1

Given the large number of Hindi speakers worldwide, there is a pressing need for robust and efficient information retrieval systems for Hindi. Despite ongoing research, comprehensi…

cs.IR2024★ 1 cited

Hindi-BEIR : A Large Scale Retrieval Benchmark in Hindi

Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar +1

Given the large number of Hindi speakers worldwide, there is a pressing need for robust and efficient information retrieval systems for Hindi. Despite ongoing research, there is a…

cs.CV2024★ 3 cited

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions

Akash Ghosh, Arkadeep Acharya, Sriparna Saha +2

The advent of Large Language Models (LLMs) has significantly reshaped the trajectory of the AI revolution. Nevertheless, these LLMs exhibit a notable limitation, as they are primar…

cs.AI2024

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries

Akash Ghosh, Arkadeep Acharya, Prince Jha +7

In the healthcare domain, summarizing medical questions posed by patients is critical for improving doctor-patient interactions and medical decision-making. Although medical data h…

cs.AI2023★ 1 cited

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare

Akash Ghosh, Arkadeep Acharya, Raghav Jain +3

In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medi…