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Chongming Gao

18 papers hereh-index 8251 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author14

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.IR10
  • cs.LG4
  • cs.CL3
  • cs.AI1
same name
  • Chongming Gao — 11 papers, h 3
  • Chongming Gao — 10 papers, h 14
  • Chongming Gao — 5 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedLarge Language Models are Learnable Planners for Long-Term Recommendation

31 citations · 53 across the 15 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Beyond Verbalized Confidence: Calibrating Reasoners with Differentiable Readouts

Chenxiao Fan, Chongming Gao, Gangyi Zhang +8

Reinforcement learning with verifiable rewards (RLVR) trains reasoning models to produce correct answers, but does not ensure that their stated confidence is calibrated. The result…

cs.LG2026

Structured Scaling of AI Discovery Across Diverse Scientific Domains

Haotian Ye, Haowei Lin, Jingyi Tang +30

Scientific discovery often requires many cycles of proposing, testing, and refining candidate solutions. Language models can increasingly participate in these loops, but simply gen…

cs.LG2025

Fine-grained List-wise Alignment for Generative Medication Recommendation

Chenxiao Fan, Chongming Gao, Wentao Shi +3

Accurate and safe medication recommendations are critical for effective clinical decision-making, especially in multimorbidity cases. However, existing systems rely on point-wise p…

cs.LG2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

Zihao Zhao, Yi Jing, Fuli Feng +3

Medication recommendation systems have gained significant attention in healthcare as a means of providing tailored and effective drug combinations based on patients' clinical infor…

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