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Stefan Hackmann

4 papers hereh-index 216 citations4 works total

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

author position
  • sole author2
  • first author1
  • middle author1

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

fields
  • cs.AI2
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedWord Importance Explains How Prompts Affect Language Model Outputs

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

JointFM-0.1: A Foundation Model for Multi-Target Joint Distributional Prediction

Stefan Hackmann

Despite the rapid advancements in Artificial Intelligence (AI), Stochastic Differential Equations (SDEs) remain the gold-standard formalism for modeling systems under uncertainty.…

cs.AI2025

syftr: Pareto-Optimal Generative AI

Alexander Conway, Debadeepta Dey, Stefan Hackmann +4

Retrieval-Augmented Generation (RAG) pipelines are central to applying large language models (LLMs) to proprietary or dynamic data. However, building effective RAG flows is complex…

cs.CL2024

HM3: Heterogeneous Multi-Class Model Merging

Stefan Hackmann

Foundation language model deployments often include auxiliary guard-rail models to filter or classify text, detecting jailbreak attempts, biased or toxic output, or ensuring topic…

cs.AI2024★ 1 cited

Word Importance Explains How Prompts Affect Language Model Outputs

Stefan Hackmann, Haniyeh Mahmoudian, Mark Steadman +1

The emergence of large language models (LLMs) has revolutionized numerous applications across industries. However, their "black box" nature often hinders the understanding of how t…

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