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Pingchuan Ma

Hong Kong University of Science and Technology

20 papers hereh-index 211.2k citations69 works total

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

author position
  • first author3
  • middle author14

Across the 17 of 20 papers where every author was matched, so the position is known.

fields
  • cs.SE6
  • cs.CR4
  • cs.AI3
  • cs.CL3
  • cs.LG2
  • cs.CV1
affiliations
  • Hong Kong University of Science and Technology
same name
  • Pingchuan Ma — 12 papers, h 7
  • Pingchuan Ma — 11 papers, h 5
  • Pingchuan Ma — 9 papers, h 8
  • Pingchuan Ma — 6 papers, h 29
  • Pingchuan Ma — 2 papers, h 1
  • Pingchuan Ma — 1 paper, h 0

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

works on
fuzz testing 1large language models 1quantum computing 1software reliability 1test generation 1

From the 1 of 20 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users

Nishant Balepur, Matthew Shu, Yoo Yeon Sung +5

To assist users in complex tasks, LLMs generate plans: step-by-step instructions towards a goal. While alignment methods aim to ensure LLM plans are helpful, they train (RLHF) or e…

cs.CL2025

STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models

Xunguang Wang, Wenxuan Wang, Zhenlan Ji +4

Large Language Models (LLMs) have become increasingly vulnerable to jailbreak attacks that circumvent their safety mechanisms. While existing defense methods either suffer from ada…

cs.CL2024

Split and Merge: Aligning Position Biases in LLM-based Evaluators

Zongjie Li, Chaozheng Wang, Pingchuan Ma +4

Large language models (LLMs) have shown promise as automated evaluators for assessing the quality of answers generated by AI systems. However, these LLM-based evaluators exhibit po…

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