Alle Publikationen
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-569 |
In Press
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press | , und ,
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Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press | , und ,
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ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories, in: Proceedings of the 14th Conference on Prestigious Applications of Intelligent Systems (PAIS-2025), In Press | , , und ,
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From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modelin, in: Findings of the Association for Computational Linguistics: EMNLP 2025, In Press | , und ,
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Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press | und ,
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Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press | , , , , , , , , und ,
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Selective Preference Optimization via Token-Level Reward Function Estimation, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press | , , , , und ,
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THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press | , , , und ,
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2025
Disentangled VAD Representations via a Variational Framework for Political Stance Detection, arXiv, 2025 | , und ,
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ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain, in: Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Seiten 4670–4688, 2025 | , , , , , , , , und ,
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EMPEC: A Comprehensive Benchmark for Evaluating Large Language Models Across Diverse Healthcare Professions, in: Findings of the Association for Computational Linguistics: ACL 2025, Seiten 9945–9958, 2025 | , , und ,
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Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals, in: Proceedings of the 24th Workshop on Biomedical Language Processing (BioNLP), Seiten 34–43, 2025 | und ,
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FinAudio: A Benchmark for Audio Large Language Models in Financial Applications, arXiv, 2025 | , , , , , , , , , , , und ,
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FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), Seiten 271–276, 2025 | , , , , , , , , , , , , und ,
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FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading, in: Findings of the Association for Computational Linguistics: ACL 2025, Seiten 13921–13934, 2025 | , , , , , , , , , , , und ,
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MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs, arXiv, 2025 | , , , , und ,
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MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation, arXiv, 2025 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und ,
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RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, in: Proceedings of ACL 2025, Seiten 16508–16523, 2025 | , , , , und ,
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Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies, arXiv, 2025 | , , und ,
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Retrieval-augmented Large Language Models for Financial Time Series Forecasting, arXiv, 2025 | , , , , , , , , , , , und ,
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Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments, arXiv, 2025 | , , und ,
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Subjective Logic Encodings, arXiv, 2025 | , und ,
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SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling, in: Findings of the Association for Computational Linguistics: ACL 2025, Seiten 16338–16356, 2025 | , , , , und ,
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Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing, arXiv, 2025 | und ,
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2024
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024 | , , und ,
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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-569 |