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cs.LG2026
Learning to Simulate Individuals from Macro Social Signals
Yining Zhao, Bushi Liu, Haofei Yu +5
Large language models are increasingly used to simulate how individuals respond to new situations, yet the behavioral reasoning behind these responses is either inherited from pret…
cs.LG2026
ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery
Haofei Yu, Jiaxuan You, Peter Clark +2
Scientific artifacts such as models and datasets are foundations for research. With the rapid growth of platforms like HuggingFace, researchers now have access to a large number of…
cs.LG2025
Self-Aligned Reward: Towards Effective and Efficient Reasoners
Peixuan Han, Adit Krishnan, Gerald Friedland +2
Reinforcement learning with verifiable rewards has significantly advanced reasoning in large language models (LLMs), but such signals remain coarse, offering only binary correctnes…