23.10.2026
MCML at EMNLP 2026
49 Accepted Papers (31 Main, 11 Findings, and 7 Workshops)
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 49 papers to EMNLP 2026: 31 Main, 11 Findings, and 7 Workshop papers. Congrats to our researchers!
Main Track (31 papers)
A. Al Ali • K. Hämmerl • J. Libovický • A. Fraser
Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment – Is English Enough?
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment – Is English Enough?
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
N. Bafna • R. S.-E. Shim • B. Plank • D. Yarowsky • H. Sirin
Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
J. Bi • Aniri • Z. Wang • D. Yan • W. Huang • 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. DOI GitHub
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. DOI 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. DOI GitHub
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. DOI GitHub
S. Casola • R. S.-E. Shim • F. Körner • Y. Mao • B. Plank
STEEREVAL: Inference-time Interventions Strengthen Multilingual Generalization in Neural Summarization Metrics.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
STEEREVAL: Inference-time Interventions Strengthen Multilingual Generalization in Neural Summarization Metrics.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI GitHub
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. DOI 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. DOI GitHub
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. DOI 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. DOI
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. DOI
F. Ghorbanpour • A. Fraser
On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI GitHub
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. DOI GitHub
S. Kolli • S. Emami • M. D’Incà • P. Nejadi • N. Sebe • M. Mancini • J. Diesner
ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI GitHub
ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI 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. DOI
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. DOI
S. Kurtyigit • S. Schulte im Walde • A. Fraser
Learning the Cue or Learning the Word? Analyzing Generalization in Metaphor Detection for Verbs.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Learning the Cue or Learning the Word? Analyzing Generalization in Metaphor Detection for Verbs.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI GitHub
Routing-Free Mixture-of-Experts.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI 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. DOI
Relational Linearity is a Predictor of Hallucinations.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI
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. DOI
S. Meisenbacher • A.-E. Bodea • A. B. Akin • A. Klymenko • J. Diesner • F. Matthes
PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. System demonstrations. DOI URL
PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. System demonstrations. DOI URL
V. Maquiling • E. Kasneci
The Language of Looking: Motion Tokens Reveal Domain-Dependent Local Structure in Gaze Sequences.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
The Language of Looking: Motion Tokens Reveal Domain-Dependent Local Structure in Gaze Sequences.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI GitHub
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. DOI GitHub
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. DOI GitHub
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. DOI 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. DOI GitHub
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. DOI GitHub
A. Srivastava • O. Ahia • L. Lucy • A. Christendat • S. Chattopadhyay • F. Samir • T. Afonja • V. Hofmann • S. Kumar • N. A. Smith • Y. Tsvetkov
The Cost of Sounding Different: Accent Bias in Audio Language Models.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Outstanding Paper Award. DOI
The Cost of Sounding Different: Accent Bias in Audio Language Models.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Outstanding Paper Award. DOI
I. Schorr • L. Bardach • H. Gao • E. Kasneci
When Humans and LLMs Disagree: Understanding Human-LLM Disagreement in Learner Intent Annotation for Educational Chatbot Dialogues.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
When Humans and LLMs Disagree: Understanding Human-LLM Disagreement in Learner Intent Annotation for Educational Chatbot Dialogues.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI
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. DOI
A. Steinberg Schulten • M. Schierholz • L. Reichenbach • F. Kreuter • A. Fraser
A Practitioner’s Guide to Systematic Prompt Evaluation for Information Extraction.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Industry Track. DOI
A Practitioner’s Guide to Systematic Prompt Evaluation for Information Extraction.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. Industry Track. DOI
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. DOI
A Target-Centric Survey of Quantization-Aware Training.
EMNLP 2026 - Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI GitHub
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. DOI 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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
A. D. Hakimi • L. Hirlimann • I. Augenstein • H. Schütze
Do We Still Need Humans in the Loop? Human vs. LLM Annotation in Active Learning for TikTok Hate Speech Detection.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Do We Still Need Humans in the Loop? Human vs. LLM Annotation in Active Learning for TikTok Hate Speech Detection.
Findings @EMNLP 2026 - Findings of the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI GitHub
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. DOI 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. DOI GitHub
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. DOI 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. DOI
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. DOI
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. DOI
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. DOI
Workshops (7 papers)
V. Hofmann • J. Kallini • S. Kumar • J. Libovický • T. Limisiewicz • E. Salesky
Tokenization in Large Language Models.
Tutorials @EMNLP 2026 - 3rd Workshop of Natural Language Processing meets Climate Change at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Tokenization in Large Language Models.
Tutorials @EMNLP 2026 - 3rd Workshop of Natural Language Processing meets Climate Change at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
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. DOI
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. DOI
S. Meisenbacher • V. Garbuz • C. Donos • M. Dnestreanschii • G. Creanga • A.-E. Bodea • T. Lampert • J. Diesner
Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy.
WOAH @EMNLP 2026 - 10th Workshop on Online Abuse and Harms at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI GitHub
Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy.
WOAH @EMNLP 2026 - 10th Workshop on Online Abuse and Harms at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI GitHub
L. Reichenbach • S. Ohler • M. Schierholz • A. Steinberg Schulten
Beyond Dictionaries: Machine-Learned Normalization of Emission Units in Information Extraction.
ClimateNLP @EMNLP 2026 - Tutorials at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Beyond Dictionaries: Machine-Learned Normalization of Emission Units in Information Extraction.
ClimateNLP @EMNLP 2026 - Tutorials at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
A. Steinberg Schulten • M. Schierholz • L. Reichenbach • F. Kreuter • A. Fraser
Climatextract: A Systematic Prompt Evaluation for Climate Information Extraction.
ClimateNLP @EMNLP 2026 - Tutorials at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Climatextract: A Systematic Prompt Evaluation for Climate Information Extraction.
ClimateNLP @EMNLP 2026 - Tutorials at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Y. Veitsman • Y. Liu • H. Schütze
Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders.
MRL @EMNLP 2026 - 6th Workshop on Multilingual Representation Learning at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders.
MRL @EMNLP 2026 - 6th Workshop on Multilingual Representation Learning at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Y. Xia • D. Ulmer • T. Blevins • Y. Liu • H. Schütze • B. Roth
Calibration Is Not Enough: Evaluating Confidence Estimation Under Language Variations.
UncertaiNLP @EMNLP 2026 - 3rd Workshop on Uncertainty-Aware NLP at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Calibration Is Not Enough: Evaluating Confidence Estimation Under Language Variations.
UncertaiNLP @EMNLP 2026 - 3rd Workshop on Uncertainty-Aware NLP at the Conference on Empirical Methods in Natural Language Processing. Budapest, Hungary, Oct 24-29, 2026. DOI
Related
12.11.2026
One Toolbox for Many Kinds of Uncertainty
MCML researchers introduce probly, a unified Python package for uncertainty-aware machine learning, presented orally at NeurIPS 2026.
09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
