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researcher

Hao Zheng

17 papers hereh-index 486 citations22 works total

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

author position
  • first author1
  • middle author6
  • last author10

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.AR5
  • cs.CL4
  • cs.AI3
  • cs.CR2
  • cs.LG2
  • cs.LO1
same name
  • Hao Zheng — 66 papers, h 58
  • Hao Zheng — 33 papers, h 19
  • Hao Zheng — 11 papers, h 9
  • Hao Zheng — 11 papers, h 7
  • Hao Zheng — 8 papers, h 3
  • Hao Zheng — 8 papers, h 2

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 citedA Multi-Expert Large Language Model Architecture for Verilog Code Generation

25 citations · 34 across the 17 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit

Haoxuan Jia, Yang Liu, Yingguang Yang +14

Memory operations of long-horizon LLM agents are hard to supervise: an operation's value is unobservable when it is taken. But they are special -- they leave machine-readable evide…

cs.CL2026

FinHarness: An Inline Lifecycle Safety Harness for Finance LLM Agents

Haoxuan Jia, Yang Liu, Bin Chong +10

Finance LLM agents must simultaneously block prompt-induced unauthorized actions and approve legitimate multi-step business workflows. However, boundary filters often miss irrevers…

cs.CL2026

MAIGO: Mitigating Lost-in-Conversation with History-Cleaned On-Policy Self-Distillation

Haoyu Zheng, Yun Zhu, Shu Yuan +5

Large language models often solve tasks from a fully specified prompt but degrade when the same requirements unfold over multiple turns, known as the lost-in-conversation (LiC) gap…

cs.CL2026

Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference

Xuwen Zhou, Fangxin Liu, Chao Wang +5

Speculative decoding accelerates autoregressive generation by letting draft tokens bypass full verification, but conventional frameworks suffer from frequent false rejections, part…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.