Benyou Wang (@wabyking) 's Twitter Profile
Benyou Wang

@wabyking

Assistant Professor, The Chinese University of Hong Kong, Shenzhen

ID: 1579976473

linkhttps://wabyking.github.io/old.html calendar_today09-07-2013 09:52:56

116 Tweet

251 Followers

429 Following

Benyou Wang (@wabyking) 's Twitter Profile Photo

Our FreedomIntelligence (github.com/FreedomIntelli…) ranks the 14th and the number of total dataset likes ranks the 6th. Keep open and contribute to the community!

EMNLP 2025 (@emnlpmeeting) 's Twitter Profile Photo

For those attending the EMNLP 2023 who have not yet secured their accommodations, we are delighted to inform you that rooms are still available at Hotel Ora!🛏️🏨 Booking by this link: idem.events/r/emnlp-confer… #EMNLP2023 #NLProc

Aran Komatsuzaki (@arankomatsuzaki) 's Twitter Profile Photo

ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model Collects and open-sources the largest (4 mil) GPT-4V dataset for VLM training, which consists of fine-grained captions, complex instructions and detailed answers arxiv.org/abs/2402.11684

ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model

Collects and open-sources the largest (4 mil) GPT-4V dataset for VLM training, which consists of fine-grained captions, complex instructions and detailed answers

arxiv.org/abs/2402.11684
fly51fly (@fly51fly) 's Twitter Profile Photo

[CL] ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model arxiv.org/abs/2402.11684 The article presents the ALLaVA model, which trains a lite vision-language model using a high-quality dataset synthesized by GPT-4V to address the computational resource

[CL] ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model  
arxiv.org/abs/2402.11684  
The article presents the ALLaVA model, which trains a lite vision-language model using a high-quality dataset synthesized by GPT-4V to address the computational resource
AK (@_akhaliq) 's Twitter Profile Photo

MathScale Scaling Instruction Tuning for Mathematical Reasoning Large language models (LLMs) have demonstrated remarkable capabilities in problem-solving. However, their proficiency in solving mathematical problems remains inadequate.

MathScale

Scaling Instruction Tuning for Mathematical Reasoning

Large language models (LLMs) have demonstrated remarkable capabilities in problem-solving. However, their proficiency in solving mathematical problems remains inadequate.
Benyou Wang (@wabyking) 's Twitter Profile Photo

Our first try on Operations Research using large languaage models. It performs better than GPT-4 in solving real-world Operations problems.

Ling-Hao (Evan) CHEN (@evan_thu) 's Twitter Profile Photo

🔥Today, we announce the #MotionLLM💃, an LLM-based motion/video model for human behavior understanding! 📖Paper: arxiv.org/pdf/2405.20340 🏠Project page: lhchen.top/MotionLLM 🤗Demo: demo.humotionx.com ✍️Blogpost: research.lhchen.top/blogpost/motio… 💻Code: github.com/IDEA-Research/…

Benyou Wang (@wabyking) 's Twitter Profile Photo

Two Papers Accepted in COLM 2024. The medical LLM "HuatuoGPT-2" (arxiv.org/abs/2311.09774) surpassed GPT-4 and many other LLMs at the time and the knowledge injection was quite distinctive. MileBench (arxiv.org/abs/2404.18532) has sounded the horn for long-context multimodal LLMs.

Yuzhe Yang (@toby_yang_7) 's Twitter Profile Photo

🚀 Excited to share TwinMarket! A scalable multi-agent framework using LLMs to simulate financial markets & emergent behavior 🎯📈 #Agent #LLM #Social 📄 Read more: huggingface.co/papers/2502.01…

🚀 Excited to share TwinMarket! A scalable multi-agent framework using LLMs to simulate financial markets & emergent behavior 🎯📈

#Agent #LLM #Social 

📄 Read more: huggingface.co/papers/2502.01…
Benyou Wang (@wabyking) 's Twitter Profile Photo

What are the best AI tools for research? Nature’s guide nature.com/articles/d4158… I discuss a little bit on deployment-efficient DeepSeek and o1/R1 -like reasoning for complex diagnosis.

Yuzhe Yang (@toby_yang_7) 's Twitter Profile Photo

If you're also interested in: AI + social simulation,multi-agent systems, please attend the Financial AI Workshop@ICLR on 4.28 at 11:40 a.m., Hall 4 #2. We will present our latest research: TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets.

AK (@_akhaliq) 's Twitter Profile Photo

Learning from Peers in Reasoning Models Large Reasoning Models often get stuck when they start reasoning incorrectly (the "Prefix Dominance Trap"). Propose LeaP (Learning from Peers), a method where parallel reasoning paths share intermediate summaries to learn from each other

Learning from Peers in Reasoning Models

Large Reasoning Models often get stuck when they start reasoning incorrectly (the "Prefix Dominance Trap"). Propose LeaP (Learning from Peers), a method where parallel reasoning paths share intermediate summaries to learn from each other