Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams. - Dmitriy Deviatkin; Artem Shelmanov; Daniil Larionov (DAMDID/RCDL (Selected Papers), 2018)

Discovering Novel Emergency Events in Text Streams. - Artem Shelmanov; Dmitriy Deviatkin; Daniil Larionov (DAMDID/RCDL, 2018)

Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. - Daniil Larionov; Artem Shelmanov; Elena Chistova; Ivan V. Smirnov (RANLP, 2019)

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. - Artem Shelmanov; Dmitry Puzyrev; Lyubov Kupriyanova; Denis Belyakov; Daniil Larionov; Nikita Khromov; Olga Kozlova; Ekaterina Artemova; Dmitry V. Dylov; Alexander Panchenko (EACL, 2021)

TITANIS: A Tool for Intelligent Text Analysis in Social Media. - Ivan V. Smirnov; Maksim Stankevich; Yulia Kuznetsova; Margarita Suvorova; Daniil Larionov; Elena Nikitina; Mikhail Savelov; Oleg G. Grigoriev (RCAI, 2021)

ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. - Akim Tsvigun; Leonid Sanochkin; Daniil Larionov; Gleb Kuzmin; Artem Vazhentsev; Ivan Lazichny; Nikita Khromov; Danil Kireev; Aleksandr Rubashevskii; Olga Shahmatova (EMNLP (Demos), 2022)

Towards Computationally Feasible Deep Active Learning. - Akim Tsvigun; Artem Shelmanov; Gleb Kuzmin; Leonid Sanochkin; Daniil Larionov; Gleb Gusev; Manvel Avetisian; Leonid Zhukov (NAACL-HLT (Findings), 2022)

EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. - Daniil Larionov; Jens Grünwald; Christoph Leiter; Steffen Eger (EMNLP (Findings), 2023)

Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. - Daniil Larionov; Vasiliy Viskov; George Kokush; Alexander Panchenko; Steffen Eger (Eval4NLP, 2023)

Semantically-Informed Regressive Encoder Score. - Vasiliy Viskov; George Kokush; Daniil Larionov; Steffen Eger; Alexander Panchenko (WMT, 2023)

ChatGPT: A Meta-Analysis after 2.5 Months. - Christoph Leiter; Ran Zhang; Yanran Chen; Jonas Belouadi; Daniil Larionov; Vivian Fresen; Steffen Eger (CoRR, 2023)

NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? - Steffen Eger; Christoph Leiter; Jonas Belouadi; Ran Zhang; Aida Kostikova; Daniil Larionov; Yanran Chen; Vivian Fresen (CoRR, 2023)

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? - Ran Zhang; Aida Kostikova; Christoph Leiter; Jonas Belouadi; Daniil Larionov; Yanran Chen; Vivian Fresen; Steffen Eger (CoRR, 2023)

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. - Daniil Larionov; Mikhail Seleznyov; Vasiliy Viskov; Alexander Panchenko; Steffen Eger (EMNLP, 2024)

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? - Christoph Leiter; Jonas Belouadi; Yanran Chen; Ran Zhang; Daniil Larionov; Aida Kostikova; Steffen Eger (CoRR, 2024)

PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics. - Daniil Larionov; Steffen Eger (NAACL (Long Papers), 2025)

BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compression. - Daniil Larionov; Steffen Eger (CoRR, 2025)

ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. - Xiao Wang; Daniil Larionov; Siwei Wu; Yiqi Liu; Steffen Eger; Nafise Sadat Moosavi; Chenghua Lin (CoRR, 2025)

DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? - Daniil Larionov; Sotaro Takeshita; Ran Zhang; Yanran Chen; Christoph Leiter; Zhipin Wang; Christian Greisinger; Steffen Eger (CoRR, 2025)