Anshuman Chhabra
12 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(7)
Natural Language Processing
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Deep Learning
(4)
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(4)
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(2)
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Computer Vision
(1)
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(1)
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(1)
Keywords
large language model
(7)
adversarial attack
(3)
content moderation
(2)
abstractive summarization
(2)
zero-shot learning
(2)
few-shot learning
(2)
robustness analysis
(2)
k-means clustering
(1)
text classification
(1)
adversarial learning
(1)
deep clustering
(1)
harmful content
(1)
graph partitioning
(1)
minimum description length
(1)
data selection
(1)
text summarization
(1)
regret bound
(1)
clustering algorithm
(1)
in-context learning
(1)
black-box attack
(1)
Papers
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization
UAI 2026
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
NAACL 2025
From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models
IJCNLP 2025
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
ICML 2025
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
ACL 2025
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers
NAACL 2025
βWhose Side Are You On?β Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
IJCNLP 2025
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
NAACL 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
ICLR 2023
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
NeurIPS 2022
Suspicion-Free Adversarial Attacks on Clustering Algorithms
AAAI 2020