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Large language models (LLMs) have garnered significant interest in natural language processing (NLP), particularly their remarkable performance in various downstream tasks in resource-rich languages.
Bphigh at semeval-2023 task 7: Can fine-tuned cross-encoders outperform gpt-3.5 in nli tasks on clinical trial data?
Bhavish Pahwa and Bhavika Pahwa. 2023 · 1944
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A large annotated corpus for learning natural language inference
Samuel R Bowman, Gabor Angeli, Christopher Potts, and Christopher D Manning. 2015 · 2015
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
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SemEval-2017 task 4: Sentiment analysis in Twitter
Sara Rosenthal, Noura Farra, and Preslav Nakov. 2017 · 2017
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Xnli: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
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Hate speech detection in hindi-english code-mixed social media text
TYSS Santosh and KVS Aravind. 2019 · 2019
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Sentiment classification in bangla textual content: A comparative study
Md Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, and Firoj Alam. 2020 · 2020
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Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, and Melvin Johnson. 2020 · 2020
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A review of bangla natural language processing tasks and the utility of transformer models
Firoj Alam, Arid Hasan, Tanvirul Alam, Akib Khan, Janntatul Tajrin, Naira Khan, and Shammur Absar Chowdhury. 2021 · 2021
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Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, Md Saiful Islam, M. Sohel Rahman, Anindya Iqbal, and Rifat Shahriyar. 2021 · 2021
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Sentnob: A dataset for analysing sentiment on noisy bangla texts
Khondoker Ittehadul Islam, Sudipta Kar, Md Saiful Islam, and Mohammad Ruhul Amin. 2021 · 2021
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Hate speech detection in roman urdu
Muhammad Moin Khan, Khurram Shahzad, and Muhammad Kamran Malik. 2021 · 2021
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Sentiment analysis using xlm-r transformer and zero-shot transfer learning on resource-poor indian language
Akshi Kumar and Victor Hugo C Albuquerque. 2021 · 2021
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Xtreme-r: Towards more challenging and nuanced multilingual evaluation
Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, et al. 2021 · 2021
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Indicxnli: Evaluating multilingual inference for indian languages
Divyanshu Aggarwal, Vivek Gupta, and Anoop Kunchukuttan. 2022 · 2022
Cited alongside, same era.
Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V Le, Ed H Chi, Denny Zhou, et al. 2022 · 2022
Cited alongside, same era.
An in-depth look at gemini’s language abilities
Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, and Graham Neubig. 2023 · 2023
Cited alongside, same era.
Buffet: Benchmarking large language models for few-shot cross-lingual transfer
Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, and Hannaneh Hajishirzi. 2023 · 2023
Cited alongside, same era.
Gpt-4 technical report
R OpenAI. 2023 · 2023
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Cross-lingual prompting: Improving zero-shot chain-of-thought reasoning across languages
Libo Qin, Qiguang Chen, Fuxuan Wei, Shijue Huang, and Wanxiang Che. 2023 · 2023
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Enhancing mathematical capabilities through chatgpt and similar generative artificial intelligence: Roles and challenges in solving mathematical problems
Nitin Rane. 2023 · 2023
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Chatgpt mt: Competitive for high-(but not low-) resource languages
Nathaniel R Robinson, Perez Ogayo, David R Mortensen, and Graham Neubig. 2023 · 2023
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Sentiment analysis through llm negotiations
Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, and Guoyin Wang. 2023 · 2023
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Leveraging zero and few-shot learning for enhanced model generality in hate speech detection in spanish and english
José Antonio García-Díaz, Ronghao Pan, and Rafael Valencia-García. 2023 · 2023
Cited alongside, same era.
When truth matters-addressing pragmatic categories in natural language inference (nli) by large language models (llms)
Reto Gubelmann, Aikaterini-Lida Kalouli, Christina Niklaus, and Siegfried Handschuh. 2023 · 2023
Cited alongside, same era.
Blp-2023 task 2: Sentiment analysis
Md Arid Hasan, Firoj Alam, Anika Anjum, Shudipta Das, and Afiyat Anjum. 2023a · 2023
Cited alongside, same era.
Bridging the resource gap: Exploring the efficacy of english and multilingual llms for swedish
Oskar Holmström, Jenny Kunz, and Marco Kuhlmann. 2023 · 2023
Cited alongside, same era.
Haoyang Huang, Tianyi Tang, Dongdong Zhang, Wayne Xin Zhao, Ting Song, Yan Xia, and Furu Wei. 2023 · 2023
Cited alongside, same era.
Mohsinul Kabir, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Mir Tafseer Nayeem, M Saiful Bari, and Enamul Hoque. 2023 · 2023
Cited alongside, same era.
Viet Dac Lai, Chien Van Nguyen, Nghia Trung Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A Rossi, and Thien Huu Nguyen. 2023 · 2023
Cited alongside, same era.
Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
Can chatgpt replace traditional kbqa models? an in-depth analysis of the question answering performance of the gpt llm family
Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, and Guilin Qi. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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A paradigm shift in machine translation: Boosting translation performance of large language models
Haoran Xu, Young Jin Kim, Amr Sharaf, and Hany Hassan Awadalla. 2023 · 2023
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Toolqa: A dataset for llm question answering with external tools
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, and Chao Zhang. 2023 · 2023
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Recent advances in hate speech moderation: Multimodality and the role of large models
Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, and Roy Ka-Wei Lee. 2024 · 2024
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Zero-shot sentiment analysis in low-resource languages using a multilingual sentiment lexicon
Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, and Timothy Baldwin. 2024 · 2024
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Designing heterogeneous llm agents for financial sentiment analysis
Frank Xing. 2024 · 2024
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