◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ming Liu

4 papers hereh-index 210 citations5 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1
same name
  • Ming Liu — 67 papers, h 87
  • Ming Liu — 57 papers, h 49
  • Ming Liu — 44 papers, h 12
  • Ming Liu — 29 papers, h 8
  • Ming Liu — 24 papers, h 9
  • Ming Liu — 24 papers, h 6

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

most citedSKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +378

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cs.CL2026

TaDA: Calibrated Probe Gating for Task-Domain LoRA Merging

Huy Quoc To, Fuyi Li, Guangyan Huang +1

Combining a task LoRA adapter with a domain LoRA adapter into a single unified model is a practical yet largely unexplored challenge. Existing methods treat both adapters as symmet…

cs.CL2024★ 2 cited

Towards Efficient Large Language Models for Scientific Text: A Review

Huy Quoc To, Ming Liu, Guangyan Huang

Large language models (LLMs) have ushered in a new era for processing complex information in various fields, including science. The increasing amount of scientific literature allow…

cs.CL2024★ 3 cited

SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization

Huy Quoc To, Ming Liu, Guangyan Huang +4

Summarization for scientific text has shown significant benefits both for the research community and human society. Given the fact that the nature of scientific text is distinctive…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.