📢 Excited to share that our studies 📄 "Large Language Models in Targeted Sentiment Analysis for Russian" has recently become in 📘 Springer Lobachevskii Journal of Mathematics 🥳✨ ...
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📢 Excited to share that our studies 📄 "Large Language Models in Targeted Sentiment Analysis for Russian" has recently become in 📘 Springer Lobachevskii Journal of Mathematics 🥳✨ ...
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📘 
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📘 
https://link.springer.com/article/10.1134/S1995080224603758
https://link.springer.com/article/10.1134/S1995080224603758
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In this studies we provide such a diverse look and experiments over various 🤖 LLM models 🤖 scaled from 7B in two different modes: ❄️ zero-shot and 🔥 fine-tuned (Flan-T5 only) using Three-Hop reasoning technique.
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In this studies we provide such a diverse look and experiments over various 🤖 LLM models 🤖 scaled from 7B in two different modes: ❄️ zero-shot and 🔥 fine-tuned (Flan-T5 only) using Three-Hop reasoning technique.
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We showcase the importance of performing:
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We showcase the importance of performing:
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💚 text translation into English
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💚 text translation into English
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💚 application on Chain-of-Thought for Implicit Sentiment Analysis
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💚 application on Chain-of-Thought for Implicit Sentiment Analysis
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More:
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More:
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📄 Arxiv: 
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📄 Arxiv: 
https://arxiv.org/abs/2404.12342
https://arxiv.org/abs/2404.12342
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🧑‍💻️ Code: 
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🧑‍💻️ Code: 
https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
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🤗 Models: 
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🤗 Models: 
Large Language Models in Targeted Sentiment Analysis (2404.12342)
https://huggingface.co/papers/2404.12342
2404.12342
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https://huggingface.co/papers/2404.12342
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🎥 Video 
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🎥 Video 
@NLPSummit
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: 
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: 
https://www.youtube.com/watch?v=qawLJsRHzB4
https://www.youtube.com/watch?v=qawLJsRHzB4
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THOR: 
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THOR: 
https://github.com/scofield7419/THOR-ISA
https://github.com/scofield7419/THOR-ISA
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📢 Excited to share that our studies 📄 "Large Language Models in Targeted Sentiment Analysis for Russian" has recently become in 📘 Springer Lobachevskii Journal of Mathematics 🥳✨ ...

📘 https://link.springer.com/article/10.1134/S1995080224603758

In this studies we provide such a diverse look and experiments over various 🤖 LLM models 🤖 scaled from 7B in two different modes: ❄️ zero-shot and 🔥 fine-tuned (Flan-T5 only) using Three-Hop reasoning technique.
We showcase the importance of performing:
💚 text translation into English
💚 application on Chain-of-Thought for Implicit Sentiment Analysis

More:
📄 Arxiv: https://arxiv.org/abs/2404.12342
🧑‍💻️ Code: https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
🤗 Models: https://huggingface.co/papers/2404.12342
🎥 Video @NLPSummit: https://www.youtube.com/watch?v=qawLJsRHzB4

THOR: https://github.com/scofield7419/THOR-ISA
👀
John6666