Chinmaya Andukuri @chinmaya_mohan
applied research @CapitalOne, previously @StanfordAILab / @StanfordHAI scandukuri.github.io Joined December 2023-
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if you’re at @COLM_conf, come say hi tomorrow and talk to us about LM self-improvement + clarification!
if you’re at @COLM_conf, come say hi tomorrow and talk to us about LM self-improvement + clarification!
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Chinmaya Andukuri retweeted
Constitutional AI showed LMs can learn to follow constitutions by labeling their own outputs. But why can't we just tell a base model the principles of desired behavior and rely on it to act appropriately? Introducing SAMI: Self-Supervised Alignment with Mutual Information!
Chinmaya Andukuri retweeted
Excited to share OffTheRails: A moral reasoning benchmark beyond trolley problems! We present a simple prompting pipeline for generating moral reasoning evaluations with language models using causal templates 🔵→🟠
Chinmaya Andukuri retweeted
Language models struggle to search, not due to an architecture problem, but a data one! They rarely see how to search or backtrack. We show how LLMs can be taught to search by representing the process of search in language as a flattened string, a stream of search (SoS)!
Chinmaya Andukuri retweeted
Multi-turn interactive RL should be a bigger focus. Current methods are not well-suited for this - i.e. PPO can't train with user in the loop generally and offline Q-learning still does not work at scale. It's interesting to see more work in that direction.
Multi-turn interactive RL should be a bigger focus. Current methods are not well-suited for this - i.e. PPO can't train with user in the loop generally and offline Q-learning still does not work at scale. It's interesting to see more work in that direction.
Chinmaya Andukuri retweeted
New work where language models learn to ask questions? So they can better understand user needs? With an amazing method name? Oh, yes!
New work where language models learn to ask questions? So they can better understand user needs? With an amazing method name? Oh, yes!
really enjoyed working on STaR-GATE! thanks to the team + many others for helpful discussions 🚀 check out the arXiv here: arxiv.org/abs/2403.19154
really enjoyed working on STaR-GATE! thanks to the team + many others for helpful discussions 🚀 check out the arXiv here: arxiv.org/abs/2403.19154
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