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MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
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Published as a conference paper at ICLR 2025 MA-RLHF: REINFORCEMENT LEARNING FROM HU- MAN FEEDBACK WITH MACRO ACTIONS Yekun Chai∗ Haoran Sun∗ Huang Fang Shuohuan Wang Yu Sun Hua Wu Baidu Inc. {chaiyekun,fanghuang,wangshuohuan}@baidu.com sunhaoran0402@gmail.com ABSTRACT Reinforcement learning from human feedback (RL...
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Language models scale reliably with over-training and on downstream tasks
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"Published as a conference paper at ICLR 2025\n\nLANGUAGE MODELS SCALE RELIABLY WITH OVER-\nTRAINING(...TRUNCATED)
lzdFImKK8w
"Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Int(...TRUNCATED)
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"Published as a conference paper at ICLR 2025\n\nBOLTZMANN-ALIGNED INVERSE FOLDING MODEL AS\nA PREDI(...TRUNCATED)
DKkQtRMowq
Improving Data Efficiency via Curating LLM-Driven Rating Systems
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"Published as a conference paper at ICLR 2025\n\nIMPROVING DATA EFFICIENCY VIA CURATING\nLLM-DRIVEN (...TRUNCATED)
IQi8JOqLuv
"On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instanc(...TRUNCATED)
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"Published as a conference paper at ICLR 2025\n\nON DESIGNING GENERAL AND EXPRESSIVE QUANTUM\nGRAPH (...TRUNCATED)
N4NhVN30ph
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
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"Published as a conference paper at ICLR 2025\n\nTOP-ERL: TRANSFORMER-BASED OFF-POLICY\nEPISODIC REI(...TRUNCATED)
p6ncr0eTKE
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
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"Published as a conference paper at ICLR 2025\n\nTASK-ADAPTIVE PRETRAINED LANGUAGE MODELS\nVIA CLUST(...TRUNCATED)
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Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
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"Published as a conference paper at ICLR 2025\n\nTOWARDS UNDERSTANDING WHY LABEL SMOOTHING\nDEGRADES(...TRUNCATED)
d16mJDyQN6
Identifying latent state transitions in non-linear dynamical systems
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"Published as a conference paper at ICLR 2025\n\nIDENTIFYING LATENT STATE TRANSITIONS IN\nNON-LINEAR(...TRUNCATED)
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Exploring Local Memorization in Diffusion Models via Bright Ending Attention
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"Published as a conference paper at ICLR 2025\n\nEXPLORING LOCAL MEMORIZATION IN DIFFUSION\nMODELS V(...TRUNCATED)
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