Sahel Sharifymoghaddam Profile
Sahel Sharifymoghaddam

@Sahel_Sharify

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PhD student Computer Science, @UWaterloo

Toronto
Joined November 2013
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@Sahel_Sharify
Sahel Sharifymoghaddam
7 days
Thrilled to be heading to #SIGIR2025 with ๐—ฅ๐—ฎ๐—ป๐—ธ๐—Ÿ๐—Ÿ๐— ! Iโ€™ll also be stepping in for a few other exciting projects from the #UniversityOfWaterloo team. If youโ€™ll be there, letโ€™s chat! ๐Ÿ‘‹.๐Ÿ“Œ ๐—•๐—ผ๐—ผ๐—ธ๐—บ๐—ฎ๐—ฟ๐—ธ ๐—ผ๐—ณ ๐—ฎ๐—น๐—น ๐—จ๐—ช ๐—ฝ๐—ฎ๐—ฝ๐—ฒ๐—ฟ๐˜€ available in the images below:
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
5/5.We hope RankLLM becomes a go-to community resource for reproducible LLM-based ranking research. Check it out, give it a โญ, contribute, and let us know what you build with it!. ๐Ÿ“„ ๐Ÿ”— #SIGIR2025.
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
4/5.Huge thanks to my amazing collaborators โ€” @rpradeep42, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, and @lintool! ๐Ÿ™Œ. ๐Ÿ™ We are also incredibly grateful to all the generous open-source contributors who made this possible!.
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
3/5.Why RankLLM? (Cont.).๐Ÿ“Œ Integration with popular frameworks: @llama_index , @LangChainAI , and Rerankers. ๐Ÿ“Œ Easy two-click reproducibility.
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
2/5.Why RankLLM?.๐Ÿ“Œ Fully configurable reranking: different datasets, retrievers, ranking modes, LLMs, prompt templates, and more. ๐Ÿ“Œ Optional components for end-to-end pipelines: retrieval & caching, evaluation, custom reranker training, LLM invocation analysis, and more.
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
๐Ÿงต1/5.๐Ÿšจ Excited to announce our SIGIR 2025 resource paper: "๐™๐™–๐™ฃ๐™ ๐™‡๐™‡๐™ˆ: ๐˜ผ ๐™‹๐™ฎ๐™ฉ๐™๐™ค๐™ฃ ๐™‹๐™–๐™˜๐™ ๐™–๐™œ๐™š ๐™›๐™ค๐™ง ๐™๐™š๐™ง๐™–๐™ฃ๐™ ๐™ž๐™ฃ๐™œ ๐™ฌ๐™ž๐™ฉ๐™ ๐™‡๐™‡๐™ˆ๐™จ" is now on arXiv! ๐ŸŽ‰. ๐Ÿ“„ Paper: ๐Ÿ’ป Code: ๐Ÿ“ฆ PyPI:
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
๐Ÿ’ป Code: .๐Ÿง  Work done in collaboration with @Ushivani3 , @WenhuChen , and @lintool .
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@Sahel_Sharify
Sahel Sharifymoghaddam
2 months
Check out our latest paper "๐—จ๐—ป๐—ถ๐—ฅ๐—”๐—š: ๐—จ๐—ป๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ฎ๐—น ๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น ๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐—Ÿ๐—ฎ๐—ฟ๐—ด๐—ฒ ๐—ฉ๐—ถ๐˜€๐—ถ๐—ผ๐—ป ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€"! #NAACL2025.๐Ÿ“„
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@Sahel_Sharify
Sahel Sharifymoghaddam
3 months
๐ŸŽ‰More explainable diagnostics for LLM battle outcomes โ€” now at scale!. Work done with @UWaterloo folks @Ushivani3, @beirmug, @rpradeep42 and @lintool!. Check out full details in our arXiv preprint:.๐Ÿ”—
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@Sahel_Sharify
Sahel Sharifymoghaddam
3 months
๐Ÿ”Ž We also extend to ๐—พ๐˜‚๐—ฒ๐—ฟ๐˜† ๐˜๐˜†๐—ฝ๐—ฒ ๐—ฏ๐—ฟ๐—ฒ๐—ฎ๐—ธ๐—ฑ๐—ผ๐˜„๐—ป๐˜€, and ๐—บ๐˜‚๐—น๐˜๐—ถ๐—น๐—ถ๐—ป๐—ด๐˜‚๐—ฎ๐—น ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€ identifying where ๐—ฝ๐—ฟ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ถ๐—ป๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ถ๐—ผ๐—ป๐˜€ arise (e.g., ambiguous or incomplete queries).
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@Sahel_Sharify
Sahel Sharifymoghaddam
3 months
๐Ÿ“Š We find ๐˜€๐˜๐—ฟ๐—ผ๐—ป๐—ด ๐—ฐ๐—ผ๐—ฟ๐—ฟ๐—ฒ๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ฏ๐—ฒ๐˜๐˜„๐—ฒ๐—ฒ๐—ป ๐—ป๐˜‚๐—ด๐—ด๐—ฒ๐˜ ๐—ฎ๐—ป๐—ฑ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป ๐—ฝ๐—ฟ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ๐˜€, validating nuggets as a fine-grained diagnostic signal!
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@Sahel_Sharify
Sahel Sharifymoghaddam
3 months
Voters in LLM arenas choose battle winners, but donโ€™t always explain!.๐Ÿ“š Building on a recent work from our group, ๐—ง๐—ต๐—ฒ ๐—š๐—ฟ๐—ฒ๐—ฎ๐˜ ๐—ก๐˜‚๐—ด๐—ด๐—ฒ๐˜ ๐—ฅ๐—ฒ๐—ฐ๐—ฎ๐—น๐—น, we bring nugget evaluation to ๐Ÿณ๐—ž battles from the ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—”๐—ฟ๐—ฒ๐—ป๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜!.
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