◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Vasu Sharma

14 papers hereh-index 319 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV4
  • cs.AI3
  • cs.RO2
  • cs.LG1
same name
  • Vasu Sharma — 41 papers, h 5
  • Vasu Sharma — 11 papers, h 7
  • Vasu Sharma — 7 papers, h 9
  • Vasu Sharma — 2 papers, h 1
  • Vasu Sharma — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedThe Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks

1 citations · 1 across the 13 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

3 papers · 2 filters

cs.CL2025

A Comprehensive Dataset for Human vs. AI Generated Text Detection

Rajarshi Roy, Gurpreet Singh, Ashhar Aziz +17

The rapid advancement of large language models (LLMs) has led to increasingly human-like AI-generated text, raising concerns about content authenticity, misinformation, and trustwo…

cs.CL2025

Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations

Abhilekh Borah, Chhavi Sharma, Danush Khanna +12

Alignment is no longer a luxury, it is a necessity. As large language models (LLMs) enter high-stakes domains like education, healthcare, governance, and law, their behavior must r…

cs.CL2025

AdversariaL attacK sAfety aLIgnment(ALKALI): Safeguarding LLMs through GRACE: Geometric Representation-Aware Contrastive Enhancement- Introducing Adversarial Vulnerability Quality Index (AVQI)

Danush Khanna, Gurucharan Marthi Krishna Kumar, Basab Ghosh +5

Adversarial threats against LLMs are escalating faster than current defenses can adapt. We expose a critical geometric blind spot in alignment: adversarial prompts exploit latent c…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.