Copertina

CodeSCM: Causal Analysis for Multi-Modal Code Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gupta, Mukur, Bhatt, Noopur, Jana, Suman
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Reasoning
di: Štorek, Adam, et al.
Pubblicazione: (2025)

XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
di: Štorek, Adam, et al.
Pubblicazione: (2025)

Intent Detection and Entity Extraction from BioMedical Literature
di: Mullick, Ankan, et al.
Pubblicazione: (2024)

EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback
di: Hajizadeh, Samira, et al.
Pubblicazione: (2026)

Text-to-Code Generation with Modality-relative Pre-training
di: Christopoulou, Fenia, et al.
Pubblicazione: (2024)

AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization
di: Gupta, Mukur, et al.
Pubblicazione: (2025)

IFEvalCode: Controlled Code Generation
di: Yang, Jian, et al.
Pubblicazione: (2025)

Code Mixologist : A Practitioner's Guide to Building Code-Mixed LLMs
di: Gupta, Himanshu, et al.
Pubblicazione: (2026)

Who Wrote this Code? Watermarking for Code Generation
di: Lee, Taehyun, et al.
Pubblicazione: (2023)

RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation
di: Zhang, Jiajun, et al.
Pubblicazione: (2026)

Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis
di: Lin, Ronghao, et al.
Pubblicazione: (2022)

Code Llama: Open Foundation Models for Code
di: Rozière, Baptiste, et al.
Pubblicazione: (2023)

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation
di: Wang, Sizhe, et al.
Pubblicazione: (2025)

FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback
di: Wu, Xueqing, et al.
Pubblicazione: (2025)

Case2Code: Scalable Synthetic Data for Code Generation
di: Shao, Yunfan, et al.
Pubblicazione: (2024)

Cast a Wider Net: Coordinated Pass@K Policy Optimization for Code Reasoning
di: Li, Yilong, et al.
Pubblicazione: (2026)

Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities
di: Gupta, Ayushman, et al.
Pubblicazione: (2024)

SymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation
di: Nezhad, Sina Bagheri, et al.
Pubblicazione: (2025)

Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
di: Gupta, Ayushman, et al.
Pubblicazione: (2024)

Evaluation of Code LLMs on Geospatial Code Generation
di: Gramacki, Piotr, et al.
Pubblicazione: (2024)

Constrained Code Generation with Discrete Diffusion
di: Shao, Lize, et al.
Pubblicazione: (2026)

Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation
di: Li, Siyuan, et al.
Pubblicazione: (2025)

Self-Infilling Code Generation
di: Zheng, Lin, et al.
Pubblicazione: (2023)

Leveraging Code to Improve In-context Learning for Semantic Parsing
di: Bogin, Ben, et al.
Pubblicazione: (2023)

RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
di: Beau, Nathanaël, et al.
Pubblicazione: (2025)

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
di: Tao, Leitian, et al.
Pubblicazione: (2024)

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems
di: Feng, Wanyong, et al.
Pubblicazione: (2026)

Fine-Tuning Pre-Trained Code Models for AI-Generated Code Detection
di: Ispas, Jany-Gabriel, et al.
Pubblicazione: (2026)

To Code, or Not To Code? Exploring Impact of Code in Pre-training
di: Aryabumi, Viraat, et al.
Pubblicazione: (2024)

Code Fingerprints: Disentangled Attribution of LLM-Generated Code
di: Guo, Jiaxun, et al.
Pubblicazione: (2026)

VersiCode: Towards Version-controllable Code Generation
di: Wu, Tongtong, et al.
Pubblicazione: (2024)

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
di: Orel, Daniil, et al.
Pubblicazione: (2025)

What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
di: Zheng, Kunhao, et al.
Pubblicazione: (2024)

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
di: Huang, Dong, et al.
Pubblicazione: (2023)

Selective Shot Learning for Code Explanation
di: Bhattacharya, Paheli, et al.
Pubblicazione: (2024)

Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets
di: Tsai, Chi-Chien, et al.
Pubblicazione: (2025)

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
di: Seo, Minju, et al.
Pubblicazione: (2025)

Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues
di: Kumar, Shivani, et al.
Pubblicazione: (2024)

CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
di: Li, Jierui, et al.
Pubblicazione: (2024)

CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
di: Sheokand, Manik, et al.
Pubblicazione: (2025)