Yang Deng
24 posts

Yang Deng
@ydeng_dandy
Assistant Professor @sgSMU | Prev @NUSingapore @CUHKofficial | 🚀proactive and trustworthy conversational agents 🤖






🔥Thrilled to share: our paper “Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors” was selected as an Oral at EMNLP 2025. 🥳 Paper: arxiv.org/abs/2503.22388








🚀New Preprint Alert 🚀 Can Multimodal Retrieval Enhance Cultural Awareness in Vision-Language Models? Excited to introduce RAVENEA, a new benchmark aimed at evaluating cultural understanding in VLMs through RAG.

I have an opening for fully-funded 6-month visiting PhD student at SMU. Time: August 2025 - March 2026 Eligibility: PhD students from universities in Europe, North/South America, South-East Asia. Topic: NLP/LLM Email me for more details if you are interested~






🚀 Excited to announce Babel, a family of open multilingual large language models designed to serve over 90% of the world’s population! 🌍 Aiming to rebuild "the Tower of Babel", we hope this open-source model can bridge linguistic gaps and empower people across diverse languages with cutting-edge LLMs. 🌟 Key Highlights: 1️⃣ Convering 90% population—supporting top 25 languages, prioritizing widely spoken but previously underexplored languages in open multilingual models. 2️⃣ Innovative architecture—Unlike traditional continued pretraining approaches, Babel expands its parameter count through model extension, raising its performance ceiling. 3️⃣ Two powerful variants 💡Babel-9B—Designed for efficient inference and fine-tuning. 💡Babel-83B—A new benchmark for open multilingual LLMs. Leveraging existing supervised fine-tuning datasets, Babel achieves remarkable performance, highlighting the robust capabilities of Babel’s base models before any further fine-tuning. 🔗Check it out: Model: huggingface.co/Tower-Babel Paper: arxiv.org/pdf/2503.00865 Website: babel-llm.github.io/babel-llm/

Announcing our 57 **Outstanding Area Chairs**!






