Varun Chandrasekaran
13 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (3)
π
Cross-Pollinator
(12)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
ICLR (7)
ACL (4)
ICML (2)
Top co-authors
Keywords
few-shot learning
(1)
anomaly detection
(1)
attention mechanism
(1)
prompt engineering
(1)
named entity recognition
(1)
model interpretability
(1)
statistical testing
(1)
layer-wise analysis
(1)
static analysis
(1)
deep neural network
(1)
bias mitigation
(1)
language model
(1)
out-of-distribution detection
(1)
prompt selection
(1)
watermark detection
(1)
sentence complexity
(1)
text detection
(1)
example selection
(1)
bias quantification
(1)
attention analysis
(1)
Papers
SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification
ACL 2026
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
ACL 2025
Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models
ICLR 2025
Training Robust Ensembles Requires Rethinking Lipschitz Continuity
ICLR 2025
Generative Monoculture in Large Language Models
ICLR 2025
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
ICML 2025
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
ICLR 2024
Designing Informative Metrics for Few-Shot Example Selection
ACL 2024
Privately Aligning Language Models with Reinforcement Learning
ICLR 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks
ICLR 2024
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
ICLR 2024
Bypassing LLM Watermarks with Color-Aware Substitutions
ACL 2024
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
ICML 2021