(1) SPaRC: A Spatial Pathfinding Reasoning Challenge
by Lars Benedikt Kaesberg, Jan Philip Wahle, Terry Ruas, and Bela Gipp

TL;DR: SPaRC is a 2D pathfinding dataset that necessitates multi-step spatial and rule-based reasoning, underscoring a significant gap in spatial understanding between human and AI reasoning models.

Paper: https://aclanthology.org/2025.emnlp-main.526 or https://sparc.gipplab.org

Poster: https://www.slideshare.net/slideshow/emnlp-2025-poster-sparc-a-spatial-pathfinding-reasoning-challenge/284023981

Presentation: Wed. Nov. 5, 14:30-16:00, Hall C

(2) Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
by Anastasia Zhukova*, Jonas Lührs*, Christian E. Lobmüller, and Bela Gipp (*equal contribution)

TL;DR: We explore the use of knowledge graphs for fine-tuning language models, specifically the text encoder, when the text domain data is low-resource.

Paper: https://aclanthology.org/2025.emnlp-industry.103/

Poster: https://www.slideshare.net/slideshow/contrastive-learning-using-graph-embeddings-for-domain-adaptation-of-language-models-in-the-process-industry/283913368

Presentation: Wed., Nov. 5, 14:30-16:00, Hall C, Industry Poster Session 1

(3) MALLM: Multi-Agent Large Language Models Framework
by Jonas Becker*, Lars Benedikt Kaesberg*, Niklas Bauer, Jan Philip Wahle, Terry Ruas, and Bela Gipp (*equal contribution)

TL;DR: A framework for multi-agent debate to conduct your research experiments. Evaluate agent personas, response generators, discussion paradigms, and decision protocols.

Paper: https://aclanthology.org/2025.emnlp-demos.29/ or https://mallm.gipplab.org

Poster: https://www.slideshare.net/slideshow/mallm-multi-agent-large-language-models-framework-emnlp-2025/284028707

Presentation: Thu., Nov. 6, 16:30-18:00, Hall C

(4) TrojanStego: Your Language Model can Secretly Be A Steganographic Privacy Leaking Agent
by Dominik Meier, Jan Philip Wähle, Paul Röttger, Terry Ruas, Bela Gipp

TL;DR: We explore a novel threat model where LLMs secretly embed information in their output.

Paper: https://aclanthology.org/2025.emnlp-main.1386/

Poster: https://pdfhost.io/v/WsBM3XwhdJ_TrojanStego-Dm-JW-2-1

Presentation: Fri., Nov. 7, 10:30-12:00, Hall C

(5) Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
by Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp

TL;DR: We introduce FRAME, a fact-centric pipeline that incorporates statement–context tuples, along with SCOPE, a reason-out-loud personalization protocol, and P-MESA, a reader-aligned metric. We reframe summarization as enrichment, cutting hallucination/omission, and improving relevance, goal alignment, and knowledge fit in meeting summaries.

Paper: https://aclanthology.org/2025.findings-emnlp.1094/

Poster: https://de.slideshare.net/slideshow/emnlp25-poster/284036994

Presentation: Fri., Nov. 7, 12:30-13:30, Hall C

Der Beitrag GippLab Presents Five Papers at EMNLP Conference in China erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.