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Veselin Stoyanov

cs.CLcs.LGcs.AIcs.IRcs.CEcs.SIcs.PLcs.SEstat.ML

On Valency

published · living versions
W_b67cayr4·v1 · currentpublished

Preprints & journals

39 papers in the corpus · 2018–2026
Overview of FinMMEval 2026 Task 1: Multilingual Financial Multiple-Choice Question Answering2607.19856v1 · Zhuohan Xie, Yuyang Dai, Rania Elbadry et al.2026 · 0 citationsarXiv
Overview of FinMMEval 2026 Task 2: Multilingual Financial Short-Answer Question Answering2607.19867v1 · Zhuohan Xie, Xueqing Peng, Georgi Georgiev et al.2026 · 0 citationsarXiv
SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning2604.19098v2 · Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl et al.2026 · 1 citationACL 2026
The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systems2602.10886v1 · Zhuohan Xie, Rania Elbadry, Fan Zhang et al.2026 · 1 citationarXiv
FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning2506.02515v4 · Zhuohan Xie, Daniil Orel, Rushil Thareja et al.2025 · 2 citationsarXiv
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs2505.15524v1 · Lang Gao, Kaiyang Wan, Wei Liu et al.2025 · 0 citationsarXiv
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark2306.02349v2 · Momchil Hardalov, Pepa Atanasova, Todor Mihaylov et al.2023 · 5 citationsACL 2023
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model2305.13999v3 · Zeyu Leo Liu, Tim Dettmers, Xi Victoria Lin et al.2023 · 5 citationsarXiv
LEVER: Learning to Verify Language-to-Code Generation with Execution2302.08468v3 · Ansong Ni, Srini Iyer, Dragomir Radev et al.2023 · 46 citationsarXiv
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization2212.12017v3 · Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru et al.2022 · 81 citationsarXiv
Training Trajectories of Language Models Across Scales2212.09803v3 · Mengzhou Xia, Mikel Artetxe, Chunting Zhou et al.2022 · 13 citationsarXiv
Complementary Explanations for Effective In-Context Learning2211.13892v2 · Xi Ye, Srinivasan Iyer, Asli Celikyilmaz et al.2022 · 46 citationsarXiv
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models2205.15223v3 · Mengzhou Xia, Mikel Artetxe, Jingfei Du et al.2022 · 12 citationsarXiv
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection2205.12495v2 · Badr AlKhamissi, Faisal Ladhak, Srini Iyer et al.2022 · 22 citationsIn Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2109-2120, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics
On the Role of Bidirectionality in Language Model Pre-Training2205.11726v2 · Mikel Artetxe, Jingfei Du, Naman Goyal et al.2022 · 10 citationsarXiv
Improving In-Context Few-Shot Learning via Self-Supervised Training2205.01703v2 · Mingda Chen, Jingfei Du, Ramakanth Pasunuru et al.2022 · 26 citationsarXiv
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models2204.01172v2 · Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson et al.2022 · 9 citationsarXiv
Efficient Language Modeling with Sparse all-MLP2203.06850v3 · Ping Yu, Mikel Artetxe, Myle Ott et al.2022 · 1 citationarXiv
Few-shot Learning with Multilingual Language Models2112.10668v3 · Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe et al.2021 · 79 citationsarXiv
Efficient Large Scale Language Modeling with Mixtures of Experts2112.10684v2 · Mikel Artetxe, Shruti Bhosale, Naman Goyal et al.2021 · 95 citationsarXiv
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs2111.13654v1 · Peter Hase, Mona Diab, Asli Celikyilmaz et al.2021 · 13 citationsarXiv
Multi-task Retrieval for Knowledge-Intensive Tasks2101.00117v1 · Jean Maillard, Vladimir Karpukhin, Fabio Petroni et al.2021 · 48 citationsarXiv
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning2011.01403v3 · Beliz Gunel, Jingfei Du, Alexis Conneau et al.2020 · 296 citationsarXiv
Self-training Improves Pre-training for Natural Language Understanding2010.02194v1 · Jingfei Du, Edouard Grave, Beliz Gunel et al.2020 · 134 citationsarXiv
Conversational Semantic Parsing2009.13655v1 · Armen Aghajanyan, Jean Maillard, Akshat Shrivastava et al.2020 · 38 citationsarXiv
Preserving Integrity in Online Social Networks2009.10311v3 · Alon Halevy, Cristian Canton Ferrer, Hao Ma et al.2020 · 56 citationsarXiv
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference2004.14287v1 · Jingfei Du, Myle Ott, Haoran Li et al.2020 · 8 citationsarXiv
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model1912.09637v1 · Wenhan Xiong, Jingfei Du, William Yang Wang et al.2019 · 167 citationsarXiv
SemEval-2014 Task 9: Sentiment Analysis in Twitter1912.02990v1 · Sara Rosenthal, Preslav Nakov, Alan Ritter et al.2019 · 618 citationsSemEval-2014
SemEval-2015 Task 10: Sentiment Analysis in Twitter1912.02387v1 · Sara Rosenthal, Saif M Mohammad, Preslav Nakov et al.2019 · 371 citationsSemEval-2015
SemEval-2016 Task 4: Sentiment Analysis in Twitter1912.01973v1 · Preslav Nakov, Alan Ritter, Sara Rosenthal et al.2019 · 969 citationsFinal version published in the Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, US, 2016, pp. 1-18
Unsupervised Cross-lingual Representation Learning at Scale1911.02116v2 · Alexis Conneau, Kartikay Khandelwal, Naman Goyal et al.2019 · 5,620 citationsarXiv
Emerging Cross-lingual Structure in Pretrained Language Models1911.01464v3 · Shijie Wu, Alexis Conneau, Haoran Li et al.2019 · 210 citationsarXiv
Bridging the domain gap in cross-lingual document classification1909.07009v2 · Guokun Lai, Barlas Oguz, Yiming Yang et al.2019 · 12 citationsarXiv
XNLI: Evaluating Cross-lingual Sentence Representations1809.05053v1 · Alexis Conneau, Guillaume Lample, Ruty Rinott et al.2018 · 991 citationsarXiv
Simple Fusion: Return of the Language Model1809.00125v2 · Felix Stahlberg, James Cross, Veselin Stoyanov2018 · 60 citationsarXiv
Career total: 84 works. 39 are in this corpus.

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