Varun Chandrasekaran
13 papers · 2021–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze ⚡ Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(62)
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(7)
Core AI
(7)
Natural Language Processing
(5)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Applications · Natural Language Processing
(2)
Generation
(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Applications · Computer Science
(1)
Keywords
large language model
(3)
language model
(3)
attention mechanism
(2)
constraint satisfaction
(2)
adversarial example
(2)
prompt engineering
(1)
factual accuracy
(1)
anomaly detection
(1)
model behavior
(1)
deep neural network
(1)
language model alignment
(1)
model interpretability
(1)
reinforcement learning from human feedback
(1)
statistical testing
(1)
information retrieval
(1)
black-box attack
(1)
static analysis
(1)
named entity recognition
(1)
layer-wise analysis
(1)
model evaluation
(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
Generative Monoculture in Large Language Models
ICLR 2025
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
ICML 2025
Training Robust Ensembles Requires Rethinking Lipschitz Continuity
ICLR 2025
Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models
ICLR 2025
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
ICLR 2024
Bypassing LLM Watermarks with Color-Aware Substitutions
ACL 2024
Designing Informative Metrics for Few-Shot Example Selection
ACL 2024
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
ICLR 2024
Privately Aligning Language Models with Reinforcement Learning
ICLR 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks
ICLR 2024
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
ICML 2021