FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback
Xueqing Wu, Zihan Xue, Da Yin, Shuyan Zhou, Kai-Wei Chang, Nanyun Peng, and Yeming Wen, in COLM, 2026.
Code
Abstract
Bib Entry
@inproceedings{wu2026frontalk,
title = {FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback},
author = {Wu, Xueqing and Xue, Zihan and Yin, Da and Zhou, Shuyan and Chang, Kai-Wei and Peng, Nanyun and Wen, Yeming},
booktitle = {COLM},
keyword_extra = {vlmodel},
year = {2026}
}
Related Publications
-
AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding, ACL-Findings, 2026
-
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling, ACL, 2025
-
MQT-LLaVA: Matryoshka Query Transformer for Large Vision-Language Models, NeurIPS, 2024
-
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation, NeurIPS (Datasets and Benchmarks Track), 2024
-
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs, EMNLP-Finding, 2024
-
AVATAR: A Parallel Corpus for Java-Python Program Translation, ACL-Finding (short), 2023
-
Unified Pre-training for Program Understanding and Generation, NAACL, 2021
-
Retrieval Augmented Code Generation and Summarization, EMNLP-Finding, 2021