Baishakhi Ray
25 papers · 2018–2025 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(17)
Artificial Intelligence
(13)
Natural Language Processing
(13)
Deep Learning
(12)
Core AI
(12)
Learning Types Β· Machine Learning
(10)
Application Areas
(8)
Generation
(7)
Resources & Methods
(6)
Computer Science
(5)
Applications Β· Computer Science
(5)
Learning Types Β· Deep Learning
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Models
(5)
Applications Β· Natural Language Processing
(4)
Core Methods
(4)
Keywords
code generation
(11)
large language model
(9)
contrastive learning
(3)
code completion
(3)
code summarization
(3)
representation learning
(2)
code semantics
(2)
code translation
(2)
language model
(2)
benchmark evaluation
(2)
data contamination
(2)
neural machine translation
(1)
adversarial robustness
(1)
named entity recognition
(1)
data augmentation
(1)
model robustness
(1)
adversarial learning
(1)
program synthesis
(1)
visual question answering
(1)
adversarial training
(1)
Papers
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
ICML 2025
EditLord: Learning Code Transformation Rules for Code Editing
ICML 2025
LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation
NAACL 2025
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
ICLR 2024
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
NeurIPS 2024
LeDex: Training LLMs to Better Self-Debug and Explain Code
NeurIPS 2024
PropTest: Automatic Property Testing for Improved Visual Programming
EMNLP 2024
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
EMNLP 2024
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
NeurIPS 2024
A Static Evaluation of Code Completion by Large Language Models
ACL 2023
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
CoRL 2023
Multi-lingual Evaluation of Code Generation Models
ICLR 2023
ReCode: Robustness Evaluation of Code Generation Models
ACL 2023
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages
EACL 2023
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
ACL 2022
DIRECT : A Transformer-based Model for Decompiled Identifier Renaming
ACL 2021
Retrieval Augmented Code Generation and Summarization
EMNLP 2021
Unified Pre-training for Program Understanding and Generation
NAACL 2021
A Transformer-based Approach for Source Code Summarization
ACL 2020
Multitask Learning Strengthens Adversarial Robustness
ECCV 2020
Metric Learning for Adversarial Robustness
NeurIPS 2019
Building Language Models for Text with Named Entities
ACL 2018