Kaiwen Wang @kaiwenw_ai
RL PhD @Cornell_Tech. @Google PhD Fellow. kaiwenw.github.io NYC Joined February 2020-
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Correction re the time: my posters on Q# and VGS at @ai4mathworkshop is happening today from 10:50 am to 12:20 pm. Hope to see you there! x.com/kaiwenw_ai/sta…
Correction re the time: my posters on Q# and VGS at @ai4mathworkshop is happening today from 10:50 am to 12:20 pm. Hope to see you there! x.com/kaiwenw_ai/sta…
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Kaiwen Wang retweeted
It's happening today! 📍Location: West Ballroom C, Vancouver Convention Center ⌚️Time: 8:30 am - 6:00 pm 🎥 Livestream: icml.cc/virtual/2025/w… #icml2025 #icml25 #icml #aiformath #ai4math #workshop
Kaiwen Wang retweeted
This captures something fundamental we're seeing in AI right now! The shift from just scaling pre-training to scaling test-time compute is huge. Our Q# + VGS work shows how value-based methods can guide models through the vast implicit graphs of reasoning possibilities.
This captures something fundamental we're seeing in AI right now! The shift from just scaling pre-training to scaling test-time compute is huge. Our Q# + VGS work shows how value-based methods can guide models through the vast implicit graphs of reasoning possibilities.
Kaiwen Wang retweeted
How can small LLMs match or even surpass frontier models like DeepSeek R1 and o3 Mini in math competition (AIME & HMMT) reasoning? Prior work seems to suggest that ideas like PRMs do not really work or scale well for long context reasoning. @kaiwenw_ai will reveal how a novel…
How can small LLMs match or even surpass frontier models like DeepSeek R1 and o3 Mini in math competition (AIME & HMMT) reasoning? Prior work seems to suggest that ideas like PRMs do not really work or scale well for long context reasoning. @kaiwenw_ai will reveal how a novel…
Kaiwen Wang retweeted
Are world models necessary to achieve human-level agents, or is there a model-free short-cut? Our new #ICML2025 paper tackles this question from first principles, and finds a surprising answer, agents _are_ world models… 🧵
Kaiwen Wang retweeted
I've made FANG billions of $ with reinforcement learning, so this episode is a long-time coming :-). Episode 180: Reinforcement Learning, drops on Monday! patreon.com/posts/180-lear…
Join us @pluralistic_ai workshop at #NeurIPS to learn more about CLP! 🗓️ Sat, 14 Dec, 2024 🕙 10:40-11:40am PST 📍 West Meeting Room 116, 117 🔗 arxiv.org/abs/2407.15762 x.com/kaiwenw_ai/sta…
Join us @pluralistic_ai workshop at #NeurIPS to learn more about CLP! 🗓️ Sat, 14 Dec, 2024 🕙 10:40-11:40am PST 📍 West Meeting Room 116, 117 🔗 arxiv.org/abs/2407.15762 x.com/kaiwenw_ai/sta…
Making inferences robust to distribution shifts and hidden confounders is paramount for decision making under uncertainty. At the upcoming @NeurIPSConf, I’m excited to present our efficient and sharp algorithm for off-policy evaluation in robust markov decision processes. Many…
Kaiwen Wang retweeted
2022: I never wrote a RL paper or worked with a RL researcher. I didn’t think RL was crucial for AGI Now: I think about RL every day. My code is optimized for RL. The data I create is designed just for RL. I even view life through the lens of RL Crazy how quickly life changes
!.! @xypyth
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