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23.10.2026

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MCML at EMNLP 2026

33 Accepted Papers (21 Main, 11 Findings, and 1 Workshop)

Conference on Empirical Methods in Natural Language Processing, Budapest, Hungary, Oct 24-29, 2026

We are happy to announce that MCML researchers have contributed a total of 33 papers to EMNLP 2026: 21 Main, 11 Findings, and 1 Workshop papers. Congrats to our researchers!

Main Track (21 papers)

J. Bi •  Aniri • Y. Wang • D. Yan • W. Huang • Z. Jin • X. Ma • S. Yan • A. Hecker • M. Ye • X. Xiao • H. Schütze • V. Tresp • Y. Ma
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Oral Presentation. To be published. Preprint available. arXiv GitHub

B. Chen • P. Hong • Z. Zhang • B. Roth • A. Korhonen • B. Plank
Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Oral Presentation. To be published. Preprint available. arXiv GitHub

Y. Ding • M. Li • E. Garces Arias • M. Aßenmacher • C. Heumann • C. Zhang
Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Oral Presentation. To be published. Preprint available. arXiv GitHub

L. Edman • D. Dementieva • A. Fraser
From Specialization to Generalization: Instruction-tuned LLMs for Robust Harmful Content Mitigation.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

S. Gerstner • H. AlQuabeh • K. Inui • H. Schütze
Weakening Neurons: An Input-Output Functionality in Transformers with Outsize Influence.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

H. Hu • H. Wu • A. Zhao • L. Ding • P. Yin • Y. Ma • X. Shen
Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

F. Körner • M. Matveev • F. Eichin • G. Kutyniok • B. Plank • M. A. Hedderich
Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

Y. Liu • J. Han • S. Yan • V. Tresp • Y. Ma
Routing-Free Mixture-of-Experts.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

Y. Lu • Y. Liu • S. Gerstner • L. Hirlimann • J. Rohweder • H. Schütze
Relational Linearity is a Predictor of Hallucinations.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

Y. Lu • A. Modarressi • Y. Liu • H. Schütze
Expert-Aware Causal Tracing of Factual Recall in Sparse MoE Language Models.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

T. Maye-Lasserre • Y. Li • B. Jian • M. Ghahremani • B. Wiestler • C. Wachinger
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

B. Nieth • M. Gracheva • M. Mahlberg • B. M. Eskofier • E. Salin
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Oral Presentation. To be published. Preprint available. arXiv GitHub

K. Rohrbacher • B. Nieth • E. Salin • B. M. Eskofier • M. Mahlberg
How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

M. Sadeghi • P. T. L. Nguyen • A. Triantafyllopoulos • M. Habibpour • R. Richer • L. H. Rupp • L. Schindler-Gmelch • M. Keinert • M. Hager • B. W. Schuller • B. Egger • M. Berking • B. M. Eskofier
Cross-Corpus Depression Detection in Semi-Structured Clinical Interviews.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published.

M. Tonneau • N. K. R. Sehgal • N. Malhotra • S. Kazemi • V. Orozco-Olvera • A. M. Muñoz Boudet • L. Subramanian • S. P. Fraiberger • S. C. Guntuku • V. Hofmann
Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available.

J. Song • M. Zhao • Z. Wang • Y. Liu • Q. Li • S. Feng • F. Ren • D. Wang • H. Schütze
A Target-Centric Survey of Quantization-Aware Training.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

M. Tonneau • N. K. R. Sehgal • N. Malhotra • S. Kazemi • V. Orozco-Olvera • A. M. Munoz Boudet • L. Subramanian • S. P. Fraiberger • S. C. Guntuku • V. Hofmann
Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

Y. Wang • T. Zhang • J. Bi • A. Aniri • W. Ye • B. Liu • S. Yan • S. Wang • X. Zhou • S. Pirk • H. Schütze • Y. Ma
MemWM: Memory-Augmented Text-Based World Model.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

S. Yan • S. Dong • H. Wang • E. Nie • Y. Liu • J. Bi • Y. Xu • S. Schwarzmann • R. Trivisonno • V. Tresp • Y. Ma
PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

C. Yuan • B. Ma • Z. Zhang • B. Prenkaj • F. Kreuter • G. Kasneci
Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Oral Presentation. To be published. Preprint available. arXiv

J. Zhang • Z. Li • R. Zhao • J. Lan • T. Seidl • M. A. Hedderich • H. Schütze • Y. Liu
Beyond Input Understanding: Diagnosing Multilingual Mathematical Reasoning with Directed Acyclic Trace Graphs.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

Findings Track (11 papers)

L. Edman • A. Fraser
Toppling the Hierarchy in Byte-level Language Modeling.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

Y. Fan • X. Lu • A. Zhao • J. Tong • P. Nie • K. Zou • Y. Ma • W. Zhang • X. Shen
miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

A. Fazla • A. Testoni • A. Abu-Hanna • B. Plank • I. Calixto
Uncertainty Is Not a Safety Net for Clinical VQA, but Can It Anticipate Model Failure?
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

F. Ghorbanpour • C. Fierro • A. Fraser • A. Søgaard
Latent-Space Intervention for Cross-Lingual Factual Consistency: Consistency Improvements without Accuracy Drops.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

A. D. Hakimi • L. Hirlimann • I. Augenstein • H. Schütze
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

M. A. Jradi • F. Ghorbanpour • A. Fraser
Attribute-Based Diagnosis of LLM Alignment with Hate Speech Annotations.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

B. Muscato • B. Chen • G. Gezici • B. Plank • F. Giannotti
Disagreeing Rationales: Rethinking Classification and Explainability Evaluation in Hate Speech Detection.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

N. Nikeghbal • A. H. Kargaran • S. Kolli • J. Diesner
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

R. Pei • Y. Liu • S. Pyysalo • H. Schütze • S. Ji
Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv GitHub

B. Rabern • P. Mondorf • B. Plank
LogicSkills: A Structured Benchmark for Formal Reasoning in Large Language Models.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

F. Sadrieh • M. Štefánik
Prompt-Robust Language Models: Which Training Strategies Work?
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published. Preprint available. arXiv

Workshops (1 paper)

M. Kandlinger • B. Ma • A.-C. Haensch • M. Aßenmacher
Do LLMs Give Consistent Opinions? Evaluating Response Reliability Under Varying Likert-Scale Formulations in Survey-Style MCQA.
W-NUT @EMNLP 2026 - 11th Workshop on Natural User-generated Text at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. To be published.

#research #top-tier-work #bischl #diesner #eskofier #fraser #hedderich #hofmann #kasneci-gjergji #kreuter #kutyniok #plank #schuetze #schuller #seidl #tresp #wachinger #wiestler

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