Yijia Shao
@echoshao8899.bsky.social
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📥 56
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CS PhD student @StanfordNLP
https://cs.stanford.edu/~shaoyj/
🚨 70 million US workers are about to face their biggest workplace transmission due to AI agents. But nobody’s asking them what they want. While AI R&D races to automate everything, we took a different approach: auditing what workers want vs. what AI can deliver across the US workforce.🧵
7 months ago
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Yijia Shao
Hao Zhu 朱昊
10 months ago
We are getting closer to have agents operating in the real physical world. However, can we trust frontier models to make embodied decisions 🎮 aligned with human norms 👩⚖️ ? With EgoNormia, a 1.8k ego-centric video 🥽 QA benchmark, we show that this is surprisingly challenging!
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🎉 For the first time ever: Collaborate with AI agents in real-time! Collaborative Gym UI is now IRB-approved and alive at
cogym.saltlab.stanford.edu
! A group of agents is eager to work with you. By providing feedback, you will see the agent's identity and its feedback to you!
add a skeleton here at some point
11 months ago
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Yijia Shao
LM agents today primarily aim to automate tasks. Can we turn them into collaborative teammates? 🤖➕👤 Introducing Collaborative Gym (Co-Gym), a framework for enabling & evaluating human-agent collaboration! I now get used to agents proactively seeking confirmations or my deep thinking.(🧵 with video)
12 months ago
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LM agents today primarily aim to automate tasks. Can we turn them into collaborative teammates? 🤖➕👤 Introducing Collaborative Gym (Co-Gym), a framework for enabling & evaluating human-agent collaboration! I now get used to agents proactively seeking confirmations or my deep thinking.(🧵 with video)
12 months ago
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Super fun and easy to play with! Check it out ⬇️
add a skeleton here at some point
about 1 year ago
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Yijia Shao
Stanford NLP Group
about 1 year ago
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang Th, Dec 12, 11:00 PST - Poster Session 3 West
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Yijia Shao
Stanford NLP Group
about 1 year ago
Papers (partly) from @stanfordnlp at
#NeurIPS
2024: Oral: Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making Manling Li · Shiyu Zhao · Qineng Wang · Kangrui Wang · … · Weiyu Liu · Percy Liang · Li Fei-Fei · Jiayuan Mao · Jiajun Wu Wed 11 Dec 11:50 PM UTC [East Ballroom A, B]
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Excited to present our PrivacyLens paper at
#NuerIPS
next week! We explore LM agent privacy risks when deployed as personal assistants. (Details in thread) I am working on developing LM agents as collaborative research partners, learning aids, personal assistants, and more. Let's connect and chat!!
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about 1 year ago
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Yijia Shao
Stanford NLP Group
about 1 year ago
Missed some – or all – of our papers at
#EMNLP2024
? It's not too late to catch up using this handy list from the Stanford AI Lab blog:
ai.stanford.edu/blog/emnlp-2...
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