Mofe Adeyemi

[David Ifeoluwa Adelani 🇳🇬 @davlanade]

3 papers accepted at #EMNLP2024

1) YORÙLECT (Yoruba dialects) led by @orevaahia @aremuadeolajr https://t.co/nXwYZuWH9F

2) MT Hallucination Detection led by @kenza_ily @gongas_laura https://t.co/UVXbFx69sx

3) MINERS led by @gentaiscool @ruochenz_ https://t.co/xIAh5652BB

[Mofe Adeyemi @AdeyemiMofe]

@UdembaChuka @theYorubayesian @rpradeep42 @lintool Thank you Chuka

[Mofe Adeyemi @AdeyemiMofe]

Excited to share that our paper on “Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages” has been accepted to #ACL2024 🎉✨Big thank you to @theYorubayesian @rpradeep42 @lintool 🎉

[Mofe Adeyemi @AdeyemiMofe]

🚀🚀 We find that, though LLMs perform better in English reranking, there is still competitive performance in monolingual (African queries -> African passages) vs. cross-lingual (English queries -> African passages) scenarios, more so in using translations generated by the LLM.

[Mofe Adeyemi @AdeyemiMofe]

@_Ken0x @theYorubayesian @rpradeep42 @lintool Thank you 🙏🏽

[Mofe Adeyemi @AdeyemiMofe]

@Quantymosh @theYorubayesian @rpradeep42 @lintool Thank you 🙏🏽

[Mofe Adeyemi @AdeyemiMofe]

@emeka_boris @theYorubayesian @rpradeep42 @lintool Thank you 🙏🏽

[Mofe Adeyemi @AdeyemiMofe]

@davlanade @theYorubayesian @rpradeep42 @lintool Thank you 🙏🏽

[Ronak Pradeep @rpradeep42]

This work led by @AdeyemiMofe was accepted in #ACL2024! 🎉🎉

[Orochimaru's Demeanour 🧜🏿‍♂️ @thyrbysn]

We have two papers accepted to #SIGIR2024!

1) On Backbone and Training Regimes for Dense Retrieval in African Languages.

2) CIRAL: A Test Collection for CLIR Evaluations in African Languages led by @AdeyemiMofe

[Mofe Adeyemi @AdeyemiMofe]

🚀🚀 We find that, though LLMs perform better in English reranking, there is still competitive performance in monolingual (African queries -> African passages) vs. cross-lingual (English queries -> African passages) scenarios, more so in using translations generated by the LLM.

[Jimmy Lin @lintool]

The obvious question: How do the latest prompt-decoder LLMs for listwise reranking perform on low-resource languages? For four African languages (Hausa, Somali, Swahili, and Yoruba), @AdeyemiMofe @theYorubayesian @rpradeep42 provide the answer: https://t.co/UWVlaqnblv

[Mofe Adeyemi @AdeyemiMofe]

@joggyjagz @theYorubayesian Yeah thanks to everyone involved

[Mofe Adeyemi @AdeyemiMofe]

@joggyjagz @theYorubayesian Hi Ejiro, there would but it's within the conference

[CIRAL Project @CiralProject]

💥💥 Catch us at #FIRE2023 starting tomorrow!
- Track Overview: 10:15am IST, Dec 15th
- Track Session: 11:00am IST, Dec 16th

We wrapped up CIRAL earlier, and we say a big thank you thank to participating teams 💯🎉🎉

Our public leaderboard is available: https://t.co/tj6A0b7loi

[Orochimaru's Demeanour 🧜🏿‍♂️ @thyrbysn]

Starting with a meticulous audit of mC4's document sources, we curate a new dataset, Wura, which covers 16 African languages + English, French, Portuguese and Arabic. Wura contains 4.7M documents in African languages - more than 1.5x what mC4 contains!

https://t.co/nRoenyf5Lm

[Orochimaru's Demeanour 🧜🏿‍♂️ @thyrbysn]

We've been doing some research on scaling pretraining data and language models for African languages and I'm excited to share our research at EMNLP 2023!

Work done with @AdeyemiMofe @orevaahia @j___y_t @AbrahamOwos @davlanade and @lintool

Here's a primer:

1 /

[Nandan Thakur @beirmug]

That's a wrap! The Waterloo (@UWCheritonCS) team had fun attending the ACL 2023 Conference in Toronto, Canada! #ACL2023NLP 🇨🇦

We would like to congratulate @ralph_tang @likicode @ZhiyingJ @lintool et al. for winning the Best Paper Award at ACL 2023!!🏆

Next stop is SIGIR 2023.

[CIRAL Project @CiralProject]

📢 New Update!

The training set for Hausa and Yoruba are now released 🎉🎉 and are accessible here: https://t.co/L0KgaPKgii

Looking forward to the retrieval systems that are built 💯⚒️ Guidelines for participation can be found here https://t.co/izqxtEIEqT

[Mercy on Merseyside @momurewa]

Or better,The it-didn't-sit-well-on my-neck Court.

[Gilmore🇳🇬 🇬🇧 @Gilmoorre]

Who else can relate?💀😅

[NICKSY @_Nicksy]

The team at Apple that developed the iMessage voicenote feature should be SCARED when judgment day comes