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researcher

H. Bai

22 papers hereh-index 581 citations21 works total

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

author position
  • middle author14
  • last author4

Across the 18 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.AI6
  • cs.SE4
  • cs.CV1
  • cs.DC1
  • cs.LG1
same name
  • H. Bai — 26 papers, h 24
  • H. Bai — 21 papers, h 21
  • H. Bai — 19 papers, h 18
  • H. Bai — 14 papers, h 17
  • H. Bai — 6 papers, h 43
  • H. Bai — 4 papers, h 15

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
collaborators
Showing 2026 · cs.CLShow all

4 papers · 2 filters

cs.CL2026

PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis

Qiushi Sun, Jingyang Gong, Yang Liu +14

Multimodal code intelligence connects the symbolic world of programs with the visual world their execution creates. Interest in this capability is burgeoning, as models are increas…

cs.CL2026

HARPO: Hallucination-Aware Reinforcement Learning for Faithful and Creative Language Generation

Tiezheng Yu, Yuxin Jiang, Jinpeng Li +4

Large Language Models (LLMs) are prone to generating hallucinated content, which compromises their reliability in knowledge-intensive tasks. To address this challenge without sacri…

cs.CL2026

OVD: On-policy Verbal Distillation

Jing Xiong, Hui Shen, Shansan Gong +7

Knowledge distillation transfers reasoning capabilities from large teachers to efficient students. However, token-level on-policy distillation (OPD) constrains student exploration…

cs.CL2026

From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation

Yuxin Jiang, Yufei Wang, Qiyuan Zhang +6

Reinforcement learning with verifiable rewards (RLVR) succeeds in reasoning tasks (e.g., math and code) by checking the final verifiable answer (i.e., a verifiable dot signal). How…

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