Koushik Sen
12 papers · 2020–2025 · 8 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 ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver β The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(57)
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(7)
Core AI
(6)
Computer Science
(4)
Natural Language Processing
(4)
Application Areas
(4)
Applications
(4)
Learning Types
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Deep Learning
(2)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Generation
(1)
Keywords
code generation
(3)
large language model
(2)
pre-trained language model
(2)
data augmentation
(1)
language model
(1)
program synthesis
(1)
syntax parsing
(1)
software engineering
(1)
black-box attack
(1)
generative model
(1)
adversarial example
(1)
parameter-efficient fine-tuning
(1)
training dynamics
(1)
parameter-efficient tuning
(1)
bayesian neural network
(1)
posterior distribution
(1)
layer freezing
(1)
language modeling
(1)
evolutionary search
(1)
transfer learning
(1)
Papers
LangProBe: a Language Program Benchmark
EMNLP 2025
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
ICLR 2025
Position: Future Research and Challenges Remain Towards AI for Software Engineering
ICML 2025
LLM-Assisted Code Cleaning For Training Accurate Code Generators
ICLR 2024
R2E: Turning any Github Repository into a Programming Agent Environment
ICML 2024
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics
NAACL 2024
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
ACL 2024
Benchmarking Language Models for Code Syntax Understanding
EMNLP 2022
Efficient and transferable adversarial examples from bayesian neural networks
UAI 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
ECCV 2022
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion
EMNLP 2022
Ansor: Generating High-Performance Tensor Programs for Deep Learning
OSDI 2020