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Na Hyun Kim

1 article on SOTA Papers

Computer Science

Humans and LLMs Split Theory-Building Strengths

A blinded comparison of 25 LLMs and 73 scientists finds stronger individual AI performance but more prediction-efficient, aggregable human theories.

cs.AIcs.CYcs.HC
Sep 29, 20264 min2609.32562

Co-authors

Ke LiSpyros I. ZoumpoulisPhanish PuranamPhilip ParkerMatthew Eshbaugh-SohaIzzy GainsburgMichael GileadIgor GrossmannBritt HadarYoel InbarAlmog SimchonRobb WillerRui AiRuicheng AoGavin J. BalaMatthew BidwellShuang CaiKai ChangSkyler Y. ChenCory J. ClarkIrmak DaiAbhinandan DalalConnor DouglasAlexis DuZhehang DuLeyun FengIsabel Fernandez-MateoLinnea GandhiCyrille GrumbachAnmol GuptaVansh GuptaMaria HademerJay H. Hardy IIIChen Kai HuangJacob Xiangyu JinUfuk KeskinMert Koba\c{s}Byounghoon KohGabrielle Lamont-DobbinGregory LanzalottoSun Young LeeDingzhe LengChenjun LiWeiyuan LiZeyuan LiZhongyuan LiangNing LiuPeihong LiuYuhan LiuJiuyao LuWanteng MaNicolas MartinetNatnael MulatChristina A. NguyenKhai NguyenQuang Minh NguyenNaja PapeChanwoo ParkStefanos PoulidisJeffrey Sanchez-BurksMichael SchaererIsabelle SolalYanbo SongJunghyo SunQingyao SunRui SunRoderick SwaabKevin TanDequn TengMichelle A. VaccaroRobin VigerbaeckXiaomeng WangRandol H. YaoDuygu YilmazShun YiuEcem YucesoyAllen ZangRuijia ZhangXilan ZhangYichi ZhangZhanhao ZhangEric Luis Uhlmann
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