Vipul Gupta
15 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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Renaissance Researcher
(5)
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The Questioner
(2)
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(11)
Core AI
(11)
Machine Learning
(10)
Natural Language Processing
(8)
Deep Learning
(7)
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(5)
Applications
(5)
Resources & Methods
(5)
Models
(4)
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(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Interdisciplinary
(2)
Analysis
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Optimization & Theory Β· Deep Learning
(2)
Keywords
large language model
(4)
benchmark evaluation
(3)
nlp research
(2)
natural language processing
(2)
object detection
(1)
visual question answering
(1)
sentiment analysis
(1)
harmful content
(1)
data augmentation
(1)
question answering
(1)
model evaluation
(1)
text generation
(1)
text annotation
(1)
data provenance
(1)
distributed optimization
(1)
factual accuracy
(1)
model safety
(1)
visual context
(1)
distributed learning
(1)
model robustness
(1)
Papers
BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks
ACL 2026
Development and Benchmarking of a Blended Human-AI Qualitative Research Assistant
ACL 2026
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
ACL 2026
Bridging the Data Provenance Gap Across Text, Speech, and Video
ICLR 2025
Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
ACL 2025
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
ICCV 2025
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
NAACL 2025
An Audit on the Perspectives and Challenges of Hallucinations in NLP
EMNLP 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons
NeurIPS 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Sociodemographic Bias in Language Models: A Survey and Forward Path
ACL 2024
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
EMNLP 2023
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
CVPR 2022
LocalNewton: Reducing communication rounds for distributed learning
UAI 2021
Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well
ICLR 2020