Daniil Larionov

24 papers A* 1A 1Misc 1Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compression. CoRR Daniil Larionov, Steffen Eger
2025	—	`conf`	ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. IJCNLP-AACL (long papers) Xiao Wang, Daniil Larionov, Siwei Wu, Yiqi Liu, Steffen Eger, Nafise Sadat Moosavi, Chenghua Lin
2025	J	`jnl`	ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. CoRR Xiao Wang, Daniil Larionov, Siwei Wu, Yiqi Liu, Steffen Eger, Nafise Sadat Moosavi, Chenghua Lin
2025	J	`jnl`	DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? CoRR Daniil Larionov, Sotaro Takeshita, Ran Zhang, Yanran Chen, Christoph Leiter, Zhipin Wang, Christian Greisinger, Steffen Eger
2025	—	`conf`	PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics. NAACL (Long Papers) Daniil Larionov, Steffen Eger
2024	J	`jnl`	NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? CoRR Christoph Leiter, Jonas Belouadi, Yanran Chen, Ran Zhang, Daniil Larionov, Aida Kostikova, Steffen Eger
2024	J	`jnl`	PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics. CoRR Daniil Larionov, Steffen Eger
2024	A*	`conf`	xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. EMNLP Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger
2024	J	`jnl`	xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. CoRR Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger
2023	J	`jnl`	ChatGPT: A Meta-Analysis after 2.5 Months. CoRR Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger
2023	—	`conf`	EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger
2023	J	`jnl`	NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? CoRR Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen
2023	J	`jnl`	NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? CoRR Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger
2023	—	`conf`	Semantically-Informed Regressive Encoder Score. WMT Vasiliy Viskov, George Kokush, Daniil Larionov, Steffen Eger, Alexander Panchenko
2023	—	`conf`	Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. Eval4NLP Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger
2022	—	`conf`	ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. EMNLP (Demos) Akim Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin, Artem Vazhentsev, Ivan Lazichny, Nikita Khromov, Danil Kireev, Aleksandr Rubashevskii, Olga Shahmatova
2022	—	`conf`	Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	J	`jnl`	Towards Computationally Feasible Deep Active Learning. CoRR Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2021	A	`conf`	Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
2021	J	`jnl`	Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. CoRR Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
2021	—	`conf`	TITANIS: A Tool for Intelligent Text Analysis in Social Media. RCAI Ivan V. Smirnov, Maksim Stankevich, Yulia Kuznetsova, Margarita Suvorova, Daniil Larionov, Elena Nikitina, Mikhail Savelov, Oleg G. Grigoriev
2019	Misc	`conf`	Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. RANLP Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov
2018	—	`conf`	Discovering Novel Emergency Events in Text Streams. DAMDID/RCDL Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov
2018	—	`conf`	Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams. DAMDID/RCDL (Selected Papers) Dmitriy Deviatkin, Artem Shelmanov, Daniil Larionov