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From the 1 of 48 linked papers with an AI index.

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20242026
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5 citations · 5 across the 18 of their papers we have counts for

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cs.CL2026

Can Agents Deceive? Evaluating Reasoning and Deception in ParliamentBench using a Social Deduction Game

Niklas Bauer, Lars Benedikt Kaesberg, Akiko Aizawa +3

The paper introduces ParliamentBench, an open-source benchmark based on the Secret Hitler game, to evaluate large language model agents on deception, persuasion, and reasoning unde…

cs.CL2026

Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains

Finn Schmidt, Jan Philip Wahle, Terry Ruas +1

Automatic evaluation metrics are central to the development of machine translation systems, yet their robustness under domain shift remains unclear. Most metrics are developed on t…

cs.CL2026

Stay Focused: Problem Drift in Multi-Agent Debate

Jonas Becker, Lars Benedikt Kaesberg, Andreas Stephan +3

Multi-agent debate - multiple instances of large language models discussing problems in turn-based interaction - has shown promise for solving knowledge and reasoning tasks. Howeve…

cs.CL2026

SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)

Liang-Chih Yu, Jonas Becker, Shamsuddeen Hassan Muhammad +14

We present the SemEval-2026 shared task on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which improves traditional ABSA by modeling sentiment along valence-arousal (VA) d…

cs.CL2026

Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science

Jan Philip Wahle, Krishnapriya Vishnubhotla, Bela Gipp +1

Work in Computational Affective Science and Computational Social Science explores a wide variety of research questions about people, emotions, behavior, and health. Such work often…

cs.CL2026

Link Prediction for Event Logs in the Process Industry

Anastasia Zhukova, Thomas Walton, Christian E. Lobmüller +1

In the era of graph-based retrieval-augmented generation (RAG), link prediction is a significant preprocessing step for improving the quality of fragmented or incomplete domain-spe…