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Vansh Gupta

Indian Institute of Technology, Delhi

4 papers hereh-index 4117 citations8 works total

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1
  • cs.CY1
affiliations
  • Indian Institute of Technology, Delhi
  • ETH Zurich
same name
  • Vansh Gupta — 1 paper
  • Vansh Gupta — 1 paper, h 1
  • Vansh Gupta — 1 paper, h 3

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

most citedBITE: Textual Backdoor Attacks with Iterative Trigger Injection

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

collaborators

4 papers

cs.AI2026

Artificial intelligences and human scientists exhibit complementary strengths in theory building

Ke Li, Spyros I. Zoumpoulis, Phanish Puranam +80

We investigate the effectiveness of artificial intelligences (AI)-specifically large language models (LLMs)-relative to human scientists at high-level cognitive tasks in social sci…

cs.CY2026

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence

Vansh Gupta, Peter Nutter, Samuel Stante +5

We argue that many Anthropomorphic Misalignment Research (AMR) studies need stronger evidence to ensure that they can provide a robust foundation for critical safety decisions, suc…

cs.AI2026

Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale

Vineet Kotecha, Vansh Gupta

Current language model systems remain fundamentally stateless across sessions, limiting their ability to personalize interactions over time. While retrieval-augmented generation an…

cs.CL2022★ 3 cited

BITE: Textual Backdoor Attacks with Iterative Trigger Injection

Jun Yan, Vansh Gupta, Xiang Ren

Backdoor attacks have become an emerging threat to NLP systems. By providing poisoned training data, the adversary can embed a "backdoor" into the victim model, which allows input…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.