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researcher

Manmeet Singh

6 papers hereh-index 3492 citations7 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CY1
  • cs.LG1
same name
  • Manmeet Singh — 15 papers, h 13
  • Manmeet Singh — 8 papers, h 3
  • Manmeet Singh — 6 papers, h 11
  • Manmeet Singh — 6 papers, h 3
  • Manmeet Singh — 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

activity
20202026
most citedTransformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots

488 citations · 497 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

FIRSTPASS: A Multi-Domain, Multi-Round Peer Review Dataset Grounded in Real Editorial Outcomes

Prabhjot Singh, Somnath Luitel, Manmeet Singh +1

Scientific peer review datasets have trained AI systems exclusively on Computer Science and Machine Learning venues, producing models that critique ablation studies yet have never…

cs.CL2026

FirstPass: Grounding AI Scientific Judgment in Multi-Round Editorial Outcomes

Prabhjot Singh, Somnath Luitel, Manmeet Singh +1

AI systems for peer review fail on three fronts: they train on Computer Science and Machine Learning venues alone, ignore the iterative dialogue that validates science, and evaluat…

cs.CL2023★ 5 cited

Mind meets machine: Unravelling GPT-4's cognitive psychology

Sifatkaur Dhingra, Manmeet Singh, Vaisakh SB +2

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as…

cs.CL2020★ 4 cited

A Survey on Text Simplification

Punardeep Sikka, Vijay Mago

Text Simplification (TS) aims to reduce the linguistic complexity of content to make it easier to understand. Research in TS has been of keen interest, especially as approaches to…

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