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@NlpWestlake

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Westlake NLP group led by Yue Zhang.

Hangzhou, China
Joined June 2021
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@NlpWestlake
WestlakeNLP
25 days
RT @Xidong_Feng: I'm excited to co-organize the Reasoning and Planning for LLMs workshop at ICLR 2025! Welcome…
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@NlpWestlake
WestlakeNLP
27 days
I am glad to host Lifan discussing this work at Westlake. Very impressive.
@lifan__yuan
Lifan Yuan
1 month
How to unlock advanced reasoning via scalable RL? 🚀Introducing PRIME (Process Reinforcement through Implicit Rewards) and Eurus-2, trained from Base model to surpass Qwen2.5-Math-Instruct using only 1/10 of the data. We're still scaling up - w/ 3x more training data to go! 🧵
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@NlpWestlake
WestlakeNLP
1 month
RT @WenhuChen: I spent the weekend reading some recent great math+reasoning papers: 1. AceMath ( 2. rStar-Math (htt…
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@NlpWestlake
WestlakeNLP
2 months
RT @WLRobotics819: Full-perception Installation Platform V1.0
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@NlpWestlake
WestlakeNLP
2 months
The deepseek-V3 model is available online now with 685B parameters: 256 experts and 8 actives per token. #LLM #NLProc #NLP
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@NlpWestlake
WestlakeNLP
2 months
@youjiaxuan Paper: Model:
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@NlpWestlake
WestlakeNLP
2 months
RT @JieHealthAI: Can't believe this happened at #NeurIPS and #2024!
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@NlpWestlake
WestlakeNLP
2 months
RT @EmmaBrunskill: We’ve released updated 2024 lectures from my Stanford RL CS234 class! This includes a guest lect…
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@NlpWestlake
WestlakeNLP
3 months
RT @yqsong: Join us at the Workshop on Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @coling2
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@NlpWestlake
WestlakeNLP
3 months
We are actively recruiting international PhD students. Please help repost, thanks!
@JieHealthAI
Jie Yang, PhD, FAMIA
3 months
Great NLP PhD opportunity in Prof. Yue Zhang's Lab (my PhD supervisor)! Prof. Zhang is incredibly supportive and the best supervisor I have ever met. @NlpWestlake
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@NlpWestlake
WestlakeNLP
3 months
We propose a feature-level DPO based on the sparse autoencoder, which introduces benefits to both efficiency and accuracy. Paper: Code: Credit goes to @MikaStars39 and @cooperleong22
@MikaStars39
MikaStars★
3 months
Direct Preference Optimization Using Sparse Feature-Level Constraints This work marks our initial exploration into leveraging features extracted from SAEs to align LLMs. MSE loss + sparse SAE features serves as effective constrainer comparing to KL div.
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@NlpWestlake
WestlakeNLP
3 months
📚 Meet the Advisor For more information, visit 📧 Apply Now! Interested? Email Prof. Yue Zhang at zhangyue@westlake.edu.cn #PhD #NLP #AI #LLM #MachineLearning #ScienceAI #ResearchOpportunity #WestlakeUniversity #AIResearch #NLPResearch #InternationalPhD
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@NlpWestlake
WestlakeNLP
3 months
RT @lilianweng: After working at OpenAI for almost 7 years, I decide to leave. I learned so much and now I'm ready for a reset and somethin…
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