An Ensemble of Classifiers Methodology for Stemming in Inflectional Languages: Using the Example of Latvian. - Steffen Eger; Ineta Sejane (Baltic HLT, 2010)

Investigating lexical competition - An Empirical Case Study of the German Spelling Reform of 1996/2004/2006. - Steffen Eger (J. Lang. Technol. Comput. Linguistics, 2010)

S-Restricted Monotone Alignments: Algorithm, Search Space, and Applications. - Steffen Eger (COLING, 2012)

S-restricted monotone alignments. - Steffen Eger (KONVENS, 2012)

Lexical semantic typologies from bilingual corpora - A framework. - Steffen Eger (*SEM@NAACL-HLT, 2012)

Asymptotic normality of integer compositions inside a rectangle - Steffen Eger (CoRR, 2012)

Stirling's approximation for central polynomial coefficients - Steffen Eger (CoRR, 2012)

The Combinatorics of String Alignments: Reconsidering the Problem. - Steffen Eger (J. Quant. Linguistics, 2012)

Opinion dynamics under opposition. - Steffen Eger (CoRR, 2013)

(Failure of the) Wisdom of the crowds in an endogenous opinion dynamics model with multiply biased agents. - Steffen Eger (CoRR, 2013)

Sequence alignment with arbitrary steps and further generalizations, with applications to alignments in linguistics. - Steffen Eger (Inf. Sci., 2013)

A Contribution to the Theory of Word Length Distribution Based on a Stochastic Word Length Distribution Model. - Steffen Eger (J. Quant. Linguistics, 2013)

Sequence Segmentation by Enumeration: An Exploration. - Steffen Eger (Prague Bull. Math. Linguistics, 2013)

Corrections to the results derived in "A Unified Approach to Algorithms Generating Unrestricted and Restricted Integer Compositions and Integer Partitions"'; and a comparison of four restricted integer composition generation algorithms. - Steffen Eger (CoRR, 2014)

A Proof of the Mann-Shanks Primality Criterion Conjecture for Extended Binomial Coefficients. - Steffen Eger (Integers, 2014)

Stirling's Approximation for Central Extended Binomial Coefficients. - Steffen Eger (Am. Math. Mon., 2014)

Multiple Many-to-Many Sequence Alignment for Combining String-Valued Variables: A G2P Experiment. - Steffen Eger (ACL (1), 2015)

Do we need bigram alignment models? On the effect of alignment quality on transduction accuracy in G2P. - Steffen Eger (EMNLP, 2015)

Complex Decomposition of the Negative Distance Kernel. - Tim vor der Brück; Steffen Eger; Alexander Mehler (ICMLA, 2015)

Improving G2p from wiktionary and other (web) resources. - Steffen Eger (INTERSPEECH, 2015)

Deriving a Primal Form for the Quadratic Power Kernel. - Tim vor der Brück; Steffen Eger (KI, 2015)

Lexicon-assisted tagging and lemmatization in Latin: A comparison of six taggers and two lemmatization models. - Tim vor der Brück; Steffen Eger; Alexander Mehler (LaTeCH@ACL, 2015)

Designing and Comparing G2P-Type Lemmatizers for a Morphology-Rich Language. - Steffen Eger (SFCM, 2015)

Towards Semantic Language Classification: Inducing and Clustering Semantic Association Networks from Europarl. - Steffen Eger; Niko Schenk; Alexander Mehler (*SEM@NAACL-HLT, 2015)

On the Number of Many-to-Many Alignments of N Sequences. - Steffen Eger (CoRR, 2015)

Some Elementary Congruences for the Number of Weighted Integer Compositions. - Steffen Eger (J. Integer Seq., 2015)

On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models. - Steffen Eger; Alexander Mehler (ACL (2), 2016)

Language classification from bilingual word embedding graphs. - Steffen Eger; Armin Hoenen; Alexander Mehler (COLING, 2016)

Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks. - Carsten Schnober; Steffen Eger; Erik-Lân Do Dinh; Iryna Gurevych (COLING, 2016)

Lemmatization and Morphological Tagging in German and Latin: A Comparison and a Survey of the State-of-the-art. - Steffen Eger; Rüdiger Gleim; Alexander Mehler (LREC, 2016)

Language classification from bilingual word embedding graphs. - Steffen Eger; Armin Hoenen (CoRR, 2016)

Wikidition: Automatic lexiconization and linkification of text corpora. - Alexander Mehler; Rüdiger Gleim; Tim vor der Brück; Wahed Hemati; Tolga Uslu; Steffen Eger (it Inf. Technol., 2016)

On the Number of Many-to-Many Alignments of Multiple Sequences. - Steffen Eger (J. Autom. Lang. Comb., 2016)

Opinion dynamics and wisdom under out-group discrimination. - Steffen Eger (Math. Soc. Sci., 2016)

A Comparison of Four Character-Level String-to-String Translation Models for (OCR) Spelling Error Correction. - Steffen Eger; Tim vor der Brück; Alexander Mehler (Prague Bull. Math. Linguistics, 2016)

Neural End-to-End Learning for Computational Argumentation Mining. - Steffen Eger; Johannes Daxenberger; Iryna Gurevych (ACL (1), 2017)

What is the Essence of a Claim? Cross-Domain Claim Identification. - Johannes Daxenberger; Steffen Eger; Ivan Habernal; Christian Stab; Iryna Gurevych (EMNLP, 2017)

How Many Stemmata with Root Degree k? - Armin Hoenen; Steffen Eger; Ralf Gehrke (MOL, 2017)

EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION. - Steffen Eger; Erik-Lân Do Dinh; Ilia Kuznetsov; Masoud Kiaeeha; Iryna Gurevych (SemEval@ACL, 2017)

The Combinatorics of Weighted Vector Compositions. - Steffen Eger (CoRR, 2017)

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection. - Steffen Eger; Andreas Rücklé; Iryna Gurevych (ArgMining@EMNLP, 2018)

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection. - Erik-Lân Do Dinh; Steffen Eger; Iryna Gurevych (COLING, 2018)

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! - Steffen Eger; Johannes Daxenberger; Christian Stab; Iryna Gurevych (COLING, 2018)

Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. - Steffen Eger; Paul Youssef; Iryna Gurevych (EMNLP, 2018)

One Size Fits All? A simple LSTM for non-literal token and construction-level classification. - Erik-Lân Do Dinh; Steffen Eger; Iryna Gurevych (LaTeCH@COLING, 2018)

Multi-Task Learning for Argumentation Mining in Low-Resource Settings. - Claudia Schulz 001; Steffen Eger; Johannes Daxenberger; Tobias Kahse; Iryna Gurevych (NAACL-HLT (2), 2018)

ArgumenText: Searching for Arguments in Heterogeneous Sources. - Christian Stab; Johannes Daxenberger; Chris Stahlhut; Tristan Miller; Benjamin Schiller; Christopher Tauchmann; Steffen Eger; Iryna Gurevych (NAACL-HLT (Demonstrations), 2018)

Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations. - Andreas Rücklé; Steffen Eger; Maxime Peyrard; Iryna Gurevych (CoRR, 2018)

Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. - Thomas N. Haider; Steffen Eger (LChange@ACL, 2019)

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. - Wei Zhao 033; Haiyun Peng; Steffen Eger; Erik Cambria; Min Yang 007 (ACL (1), 2019)

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. - Wei Zhao 033; Maxime Peyrard; Fei Liu 004; Yang Gao 021; Christian M. Meyer; Steffen Eger (EMNLP/IJCNLP (1), 2019)

Does My Rebuttal Matter? Insights from a Major NLP Conference. - Yang Gao 021; Steffen Eger; Ilia Kuznetsov; Iryna Gurevych; Yusuke Miyao (NAACL-HLT (1), 2019)

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. - Steffen Eger; Gözde Gül Sahin; Andreas Rücklé; Ji-Ung Lee; Claudia Schulz 001; Mohsen Mesgar; Krishnkant Swarnkar; Edwin Simpson; Iryna Gurevych (NAACL-HLT (1), 2019)

Pitfalls in the Evaluation of Sentence Embeddings. - Steffen Eger; Andreas Rücklé; Iryna Gurevych (RepL4NLP@ACL, 2019)

Predicting Research Trends From Arxiv. - Steffen Eger; Chao Li; Florian Netzer; Iryna Gurevych (CoRR, 2019)

DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. - Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Ajie Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig (CoRR, 2019)

Practitioner's view: A comparison and a survey of lemmatization and morphological tagging in German and Latin. - Rüdiger Gleim; Steffen Eger; Alexander Mehler; Tolga Uslu; Wahed Hemati; Andy Lücking; Alexander Henlein; Sven Kahlsdorf; Armin Hoenen (J. Lang. Model., 2019)

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. - Yang Gao 021; Wei Zhao 033; Steffen Eger (ACL, 2020)

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. - Wei Zhao 033; Goran Glavas; Maxime Peyrard; Yang Gao 021; Robert West 001; Steffen Eger (ACL, 2020)

Vec2Sent: Probing Sentence Embeddings with Natural Language Generation. - Martin Kerscher; Steffen Eger (COLING, 2020)

Probing Multilingual BERT for Genetic and Typological Signals. - Taraka Rama; Lisa Beinborn; Steffen Eger (COLING, 2020)

How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. - Steffen Eger; Johannes Daxenberger; Iryna Gurevych (CoNLL, 2020)

From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks. - Steffen Eger; Yannik Benz (AACL/IJCNLP, 2020)

PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. - Thomas N. Haider; Steffen Eger; Evgeny Kim; Roman Klinger; Winfried Menninghaus (LREC, 2020)

CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts. - David Rother; Thomas N. Haider; Steffen Eger (SemEval@COLING, 2020)

DBPal: A Fully Pluggable NL2SQL Training Pipeline. - Nathaniel Weir; Prasetya Ajie Utama; Alex Galakatos; Andrew Crotty; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig (SIGMOD Conference, 2020)

Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset. - Alexandra Ils; Dan Liu; Daniela Grunow; Steffen Eger (ACL/IJCNLP (1), 2021)

BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. - Yannik Keller; Jan Mackensen; Steffen Eger (ACL/IJCNLP (Findings), 2021)

Better than Average: Paired Evaluation of NLP systems. - Maxime Peyrard; Wei Zhao 033; Steffen Eger; Robert West 001 (ACL/IJCNLP (1), 2021)

Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors. - Marvin Kaster; Wei Zhao 033; Steffen Eger (EMNLP (1), 2021)

The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results. - Marina Fomicheva; Piyawat Lertvittayakumjorn; Wei Zhao 033; Steffen Eger; Yang Gao 021 (Eval4NLP, 2021)

TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation. - Christian Richter; Yanran Chen; Steffen Eger (INLG, 2021)

Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. - Tobias Walter; Celina Kirschner; Steffen Eger; Goran Glavas; Anne Lauscher; Simone Paolo Ponzetto (JCDL, 2021)

Inducing Language-Agnostic Multilingual Representations. - Wei Zhao 033; Steffen Eger; Johannes Bjerva; Isabelle Augenstein (*SEM, 2021)

TUDa at WMT21: Sentence-Level Direct Assessment with Adapters. - Gregor Geigle; Jonas Stadtmüller; Wei Zhao 033; Jonas Pfeiffer; Steffen Eger (WMT@EMNLP, 2021)

Graph routing between capsules. - Yang Li 055; Wei Zhao 033; Erik Cambria; Suhang Wang; Steffen Eger (Neural Networks, 2021)

Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. - Wei Zhao 033; Steffen Eger (ACML, 2022)

Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust? - Doan Nam Long Vu; Nafise Sadat Moosavi; Steffen Eger (COLING, 2022)

Reproducibility Issues for BERT-based Evaluation Metrics. - Yanran Chen; Jonas Belouadi; Steffen Eger (EMNLP, 2022)

Findings of the WMT 2022 Shared Task on Quality Estimation. - Chrysoula Zerva; Frédéric Blain; Ricardo Rei; Piyawat Lertvittayakumjorn; José G. C. de Souza; Steffen Eger; Diptesh Kanojia; Duarte M. Alves; Constantin Orasan; Marina Fomicheva; André F. T. Martins; Lucia Specia (WMT, 2022)

Detecting Stance in Scientific Papers: Did we get more Negative Recently? - Dominik Beese; Begüm Altunbas; Görkem Güzeler; Steffen Eger (CoRR, 2022)

Towards Explainable Evaluation Metrics for Natural Language Generation. - Christoph Leiter; Piyawat Lertvittayakumjorn; Marina Fomicheva; Wei Zhao 033; Yang Gao 021; Steffen Eger (CoRR, 2022)

Can we do that simpler? Simple, Efficient, High-Quality Evaluation Metrics for NLG. - Jens Grünwald; Christoph Leiter; Steffen Eger (CoRR, 2022)

FairGer: Using NLP to Measure Support for Women and Migrants in 155 Years of German Parliamentary Debates. - Dominik Beese; Ole Pütz; Steffen Eger (CoRR, 2022)

BMX: Boosting Machine Translation Metrics with Explainability. - Christoph Leiter; Hoa Nguyen; Steffen Eger (CoRR, 2022)

Measuring Social Solidarity During Crisis: The Role of Design Choices. - Steffen Eger; Dan Liu; Daniela Grunow (J. Soc. Comput., 2022)

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models. - Jonas Belouadi; Steffen Eger (ACL (1), 2023)

Trade-Offs Between Fairness and Privacy in Language Modeling. - Cleo Matzken; Steffen Eger; Ivan Habernal (ACL (Findings), 2023)

UScore: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation. - Jonas Belouadi; Steffen Eger (EACL, 2023)

DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence. - Wei Zhao 033; Michael Strube 001; Steffen Eger (EACL, 2023)

EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. - Daniil Larionov; Jens Grünwald; Christoph Leiter; Steffen Eger (EMNLP (Findings), 2023)

Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. - Yanran Chen; Steffen Eger (Eval4NLP, 2023)

Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. - Daniil Larionov; Vasiliy Viskov; George Kokush; Alexander Panchenko; Steffen Eger (Eval4NLP, 2023)

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. - Christoph Leiter; Juri Opitz; Daniel Deutsch; Yang Gao 021; Rotem Dror; Steffen Eger (Eval4NLP, 2023)

Semantically-Informed Regressive Encoder Score. - Vasiliy Viskov; George Kokush; Daniil Larionov; Steffen Eger; Alexander Panchenko (WMT, 2023)

ChatGPT: A Meta-Analysis after 2.5 Months. - Christoph Leiter; Ran Zhang; Yanran Chen; Jonas Belouadi; Daniil Larionov; Vivian Fresen; Steffen Eger (CoRR, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? - Steffen Eger; Christoph Leiter; Jonas Belouadi; Ran Zhang; Aida Kostikova; Daniil Larionov; Yanran Chen; Vivian Fresen (CoRR, 2023)

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? - Ran Zhang; Aida Kostikova; Christoph Leiter; Jonas Belouadi; Daniil Larionov; Yanran Chen; Vivian Fresen; Steffen Eger (CoRR, 2023)

MENLI: Robust Evaluation Metrics from Natural Language Inference. - Yanran Chen; Steffen Eger (Trans. Assoc. Comput. Linguistics, 2023)

Dependencies over Times and Tools (DoTT). - Andy Lücking; Giuseppe Abrami; Leon Hammerla; Marc Rahn; Daniel Baumartz; Steffen Eger; Alexander Mehler (LREC/COLING, 2024)

BMX: Boosting Natural Language Generation Metrics with Explainability. - Christoph Leiter; Hoa Nguyen; Steffen Eger (EACL (Findings), 2024)

Evaluating Diversity in Automatic Poetry Generation. - Yanran Chen; Hannes Gröner; Sina Zarrieß; Steffen Eger (EMNLP, 2024)

Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates. - Aida Kostikova; Dominik Beese; Benjamin Paassen; Ole Pütz; Gregor Wiedemann; Steffen Eger (EMNLP, 2024)

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. - Daniil Larionov; Mikhail Seleznyov; Vasiliy Viskov; Alexander Panchenko; Steffen Eger (EMNLP, 2024)

PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. - Christoph Leiter; Steffen Eger (EMNLP, 2024)

AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ. - Jonas Belouadi; Anne Lauscher; Steffen Eger (ICLR, 2024)

DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ. - Jonas Belouadi; Simone Paolo Ponzetto; Steffen Eger (NeurIPS, 2024)

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation. - Ran Zhang; Jihed Ouni; Steffen Eger (Comput. Linguistics, 2024)

Is there really a Citation Age Bias in NLP? - Hoa Nguyen; Steffen Eger (CoRR, 2024)

Syntactic Language Change in English and German: Metrics, Parsers, and Convergences. - Yanran Chen; Wei Zhao 033; Anne Breitbarth; Manuel Stoeckel; Alexander Mehler; Steffen Eger (CoRR, 2024)

LLM-based multi-agent poetry generation in non-cooperative environments. - Ran Zhang; Steffen Eger (CoRR, 2024)

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? - Leixin Zhang; Steffen Eger; Yinjie Cheng; Weihe Zhai; Jonas Belouadi; Christoph Leiter; Simone Paolo Ponzetto; Fahimeh Moafian; Zhixue Zhao (CoRR, 2024)

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? - Christoph Leiter; Jonas Belouadi; Yanran Chen; Ran Zhang; Daniil Larionov; Aida Kostikova; Steffen Eger (CoRR, 2024)

Graph-Guided Textual Explanation Generation Framework. - Shuzhou Yuan; Jingyi Sun; Ran Zhang; Michael Färber 001; Steffen Eger; Pepa Atanasova; Isabelle Augenstein (CoRR, 2024)

Towards Explainable Evaluation Metrics for Machine Translation. - Christoph Leiter; Piyawat Lertvittayakumjorn; Marina Fomicheva; Wei Zhao 033; Yang Gao 021; Steffen Eger (J. Mach. Learn. Res., 2024)

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. - Vladyslav Nechakhin; Jennifer D'Souza 001; Steffen Eger (Inf., 2024)

Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks. - Yanran Chen; Steffen Eger (ACL (Findings), 2025)

ScImage: How good are multimodal large language models at scientific text-to-image generation? - Leixin Zhang; Steffen Eger; Yinjie Cheng; Weihe Zhai; Jonas Belouadi; Fahimeh Moafian; Zhixue Zhao (ICLR, 2025)

PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics. - Daniil Larionov; Steffen Eger (NAACL (Long Papers), 2025)

How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs. - Ran Zhang; Wei Zhao; Steffen Eger (NAACL (Long Papers), 2025)

Cross-genre argument mining: Can language models automatically fill in missing discourse markers? - Gil Rocha; Henrique Lopes Cardoso; Jonas Belouadi; Steffen Eger (Argument Comput., 2025)

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. - Steffen Eger; Yong Cao 001; Jennifer D'Souza 001; Andreas Geiger 001; Christian Greisinger; Stephanie Gross; Yufang Hou 001; Brigitte Krenn; Anne Lauscher; Yizhi Li; Chenghua Lin; Nafise Sadat Moosavi; et al. (CoRR, 2025)

Argument Summarization and its Evaluation in the Era of Large Language Models. - Moritz Altemeyer; Steffen Eger; Johannes Daxenberger; Tim Altendorf; Philipp Cimiano; Benjamin Schiller (CoRR, 2025)

BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compression. - Daniil Larionov; Steffen Eger (CoRR, 2025)

TikZero: Zero-Shot Text-Guided Graphics Program Synthesis. - Jonas Belouadi; Eddy Ilg; Margret Keuper; Hideki Tanaka; Masao Utiyama; Raj Dabre; Steffen Eger; Simone Paolo Ponzetto (CoRR, 2025)

ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. - Xiao Wang; Daniil Larionov; Siwei Wu; Yiqi Liu; Steffen Eger; Nafise Sadat Moosavi; Chenghua Lin (CoRR, 2025)

DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? - Daniil Larionov; Sotaro Takeshita; Ran Zhang; Yanran Chen; Christoph Leiter; Zhipin Wang; Christian Greisinger; Steffen Eger (CoRR, 2025)

LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering. - Ran Zhang; Wei Zhao; Lieve Macken; Steffen Eger (CoRR, 2025)

CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. - Christoph Leiter; Yuki M. Asano; Margret Keuper; Steffen Eger (CoRR, 2025)

LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models. - Aida Kostikova; Zhipin Wang; Deidamea Bajri; Ole Pütz; Benjamin Paaßen; Steffen Eger (CoRR, 2025)

3DFroMLLM: 3D Prototype Generation only from Pretrained Multimodal LLMs. - Noor Ahmed; Cameron Braunstein; Steffen Eger; Eddy Ilg (CoRR, 2025)