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Jonathan Pan

8 papers hereh-index 367 citations8 works total

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

author position
  • sole author1
  • first author3
  • middle author2
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.LG2
  • cs.SE2
  • cs.AI1
same name
  • Jonathan Pan — 7 papers, h 4
  • Jonathan Pan — 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
20232026
most citedRAGLog: Log Anomaly Detection using Retrieval Augmented Generation

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.SE2026

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation

Weifeng Sun, Ye Fan, Yuchen Chen +6

Large language models (LLMs) excel at general-purpose code generation, yet how well they handle scientific code remains an open question. Existing datasets and benchmarks are limit…

cs.SE2026

The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability

Jonathan Pan

As Large Language Models (LLMs) are increasingly deployed in mission-critical software systems, detecting hallucinations and ``faked truthfulness'' has become a paramount engineeri…

cs.LG2026

SMT-AD: a scalable quantum-inspired anomaly detection approach

Apimuk Sornsaeng, Si Min Chan, Wenxuan Zhang +4

Quantum-inspired tensor networks algorithms have shown to be effective and efficient models for machine learning tasks, including anomaly detection. Here, we propose a highly paral…

cs.AI2026

Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction

Xin Wei Chia, Swee Liang Wong, Jonathan Pan

Recent incidents have highlighted alarming cases where human-AI interactions led to negative psychological outcomes, including mental health crises and even user harm. As LLMs serv…

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