Kaile Wang

activity

20192025

most citedMeasurement of the cross section for

e^{+} e^{-} \to Ξ^{-} Ξ ˉ^{+}

and observation of an excited

Ξ

baryon

46 citations · 46 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction

Hantao Lou, Jiaming Ji, Kaile Wang +1

The rapid advancement of large language models (LLMs) has led to significant improvements in their capabilities, but also to increased concerns about their alignment with human val…

cs.AI2024

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback

Jiaming Ji, Jiayi Zhou, Hantao Lou +16

Reinforcement learning from human feedback (RLHF) has proven effective in enhancing the instruction-following capabilities of large language models; however, it remains underexplor…

hep-ex2019★ 46 cited

Measurement of the cross section for $e^{+} e^{-} \to Ξ^{-} Ξ ˉ^{+}$ and observation of an excited $Ξ$ baryon

BESIII Collaboration, M. Ablikim, M. N. Achasov +483

Using a total of 11.0 fb $^{- 1}$ of $e^{+} e^{-}$ collision data with center-of-mass energies between 4.009 GeV and 4.6 GeV and collected with the BESIII detector at BEPCII, we measu…

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback

Measurement of the cross section for e+e−→Ξ−Ξˉ+ and observation of an excited Ξ baryon

Measurement of the cross section for $e^{+} e^{-} \to Ξ^{-} Ξ ˉ^{+}$ and observation of an excited $Ξ$ baryon