Junjielong Xu
@SiyuexiH
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Ph.D. student in Computer Science, The Chinese University of Hong Kong, Shenzhen.
Shenzhen
Joined February 2020
Excited to share our latest work on dynamic turn control for LLM-based Agents π This is the first systematic study that significantly reduces Coding Agent cost with minimal impact on performance, and even improves solve rates in certain scenarios. Our method is intentionally
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π Thrilled to share our new papers from @trae Research at @NeurIPSConf, @ICSEconf, and @ASE_conf β exploring how AI coding agents evolve from capable assistants to autonomous developers, spanning execution, evaluation, and model training. [NeurIPS Spotlight] Repo2Run β first
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Trust your AI, but can it trust itself? π€ Introducing an online reinforcement learning framework, RISE (Reinforcing Reasoning with Self-Verification), enabling LLMs to simultaneously level-up BOTH their problem-solving AND self-checking skills! π§ Problems tackled: β
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Our paper "Top Score on the Wrong Exam" paper will be presented at #ISSTA25 π£ in Trondheim! π https://t.co/m7FrZ36ach π§βπ» https://t.co/VoItZD0KVy // @niklas2484 @fuzzjing.
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Truly humbled and honored to receive the IEEE CS TCSE Rising Star Award. Thanks a lot for the help along the way from my supervisors, referees, students, and co-authors. Will continue to focus on impactful projects about AI4SE and SE4AI. π― https://t.co/cUX83bzcoQ
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