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Author

Jan Strich

Observed name: Strich, Jan
Observed institutions: Universität Hamburg, HAW Hamburg
OpenAlex ID: A5125660974
Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
2026 · Klejda Alushi, Jan Strich, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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EncouRAGe: Evaluating RAG Local, Reliable and Efficient
2026 · Association for Computational Linguistics 2026, Biemann, Chris, et al. · Underline Science Inc.
Review Arcade: On the Human Alignment and Gameability of LLM Reviews
2026 · Hatzel, Hans Ole, Steindl, Sebastian, et al. · arXiv (Cornell University)
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T2-RAGBench: Text-and-Table Aware Retrieval-Augmented Generation
2026 · Association for Computational Linguistics 2026, Biemann, Chris, et al. · Underline Science Inc.
LEMUR: Robust Fine-Tuning for Multilingual Embedding Models for Retrieval
2026 · Association for Computational Linguistics 2026, Ahmadi, Narges Baba, et al. · Underline Science Inc.
Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
2026 · Association for Computational Linguistics 2026, Alushi, Klejda, et al. · Underline Science Inc.
Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
2026 · Alushi, Klejda, Strich, Jan, et al. · arXiv (Cornell University)
PDF
LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
2026 · Ahmadi, Narges Baba, Strich, Jan, et al. · arXiv (Cornell University)
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T2-RAGBench: Text-and-Table Aware Retrieval-Augmented Generation
2026 · Jan Strich, Enes Kutay Isgorur, et al. · Conference of the European Chapter of the Association for Computational Linguistics
PDF
LEMUR: Robust Fine-Tuning for Multilingual Embedding Models for Retrieval
2026 · Narges Baba Ahmadi, Jan Strich, et al. · Conference of the European Chapter of the Association for Computational Linguistics
PDF
Self-Calibrating Language Models via Test-Time Discriminative Distillation
2026 · Mohamed Rissal Hedna, Jan Strich, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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EncouRAGe: Evaluating RAG Local, Reliable, and Efficient
2026 · Jan Strich, Martin Semmann, et al.
PDF
T$^2$-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation
2025 · Strich, Jan, Isgorur, Enes Kutay, et al. · arXiv (Cornell University)
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Visual Question Answering on Scientific Charts Using Fine-Tuned Vision-Language Models
2025 · Florian Schleid, Jan Strich, et al. · Workshop on Scholarly Document Processing (SDP)
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MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space
2025 · Anshul Singh, Chris Biemann, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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On Improving Repository-Level Code QA for Large Language Models
2024 · Jan Strich, Florian Schneider, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 17
Citation count: 1
H-index: 1
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