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Andreas Chari

@andreaschari.bsky.social
80 followers 265 following 8 posts

@irglasgow.bsky.social PhD Student, University of Glasgow. Researching multilingual NLP & IR Supervisors: @macavaney.bsky.social & @iadhounis.bsky.social. 🇨🇾 Views my own

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Andreas Chari @andreaschari.bsky.social · 02/04/2025
Check out all the details and more findings here: arxiv.org/abs/2503.22508 I will also present this at the #IR4GOOD at #ECIR2025 next week, alongside many other contributions from @irglasgow.bsky.social. Looking forward to continuing these discussions at #SIGIR2025.
arxiv.org
Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer
Globalisation and colonisation have led the vast majority of the world to use only a fraction of languages, such as English and French, to communicate, excluding many others. This has severely affecte...
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Andreas Chari @andreaschari.bsky.social · 02/04/2025
Then, we try to zero-shot these fine-tuned models on other language pairs. Some are related to French-Catalan, such as Occitan, and some are entirely unrelated, such as Mandarin. We see it does transfer to Occitan-French pairs and in Cantonese-Mandarin pairs (more on the paper)
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Andreas Chari @andreaschari.bsky.social · 02/04/2025
We fine-tuned them on Catalan queries and French Docs and see that we can regularise the models to be more robust on Catalan (and we see some gains in French!)
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Andreas Chari @andreaschari.bsky.social · 02/04/2025
What will happen if you fine-tune neural rankers such as BGE-M3 and ColBERT-XM on low-resource queries and high-resource documents of two different (albeit related) languages? Will it help regularize the rankers on these similarities?
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Andreas Chari @andreaschari.bsky.social · 02/04/2025
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Andreas Chari @andreaschari.bsky.social · 02/04/2025
We translated five collections of mMARCO into similar languages and evaluated retrieval methods based on how well they would perform if the queries were expressed in a similar low-resource language. It turns out they do not perform very well (an understatement).
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Andreas Chari @andreaschari.bsky.social · 02/04/2025
🚨 New Pre-Print!🚨 with @macavaney.bsky.social & @iadhounis.bsky.social. Stop using "translate-train" for all your multilingual needs. We explore zero-shot transfer for low-resource languages... 🧵
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Andreas Chari @andreaschari.bsky.social · 17/12/2024
🇮🇹🇮🇹🇮🇹 I am happy to share that our work with @macavaney.bsky.social and @iadhounis.bsky.social , "Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer", has been accepted to the #ecir2025 "IR for Good" track.
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Reposted by Andreas Chari
Glasgow IR Group @irglasgow.bsky.social · 16/12/2024
Demo paper entitled “FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising” has been accepted to #ecir2025 - output of a collaboration with University of Tokyo with T Takayanagi, M Suzuki, K Izumi, R McCreadie, @javiersanzcruza.bsky.social and @iadhounis.bsky.social
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Reposted by Andreas Chari
Glasgow IR Group @irglasgow.bsky.social · 16/12/2024
#IR4Good paper entitled “Fair Exposure Allocation Using Generative Query Expansion” has been accepted to #ecir2025 - work by @tjaenich.bsky.social @grahammcdonald.bsky.social and @iadhounis.bsky.social
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Reposted by Andreas Chari
Javier Sanz-Cruzado @javiersanzcruza.bsky.social · 16/12/2024
Happy to share that our paper "Improving novelty and diversity of nearest-neighbors recommendation by exploiting dissimilarities" with @psperez.bsky.social and @abellogin.bsky.social has been accepted to #ECIR2025 IR4Good track!
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Reposted by Andreas Chari
Glasgow IR Group @irglasgow.bsky.social · 16/12/2024
Full length paper entitled “One size doesn’t fit all: Predicting the Number of Examples for In-Context Learning” has been accepted at #ecir2025 - work by Manish Chandra, @gdebasis.bsky.social and @iadhounis.bsky.social
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Reposted by Andreas Chari
Glasgow IR Group @irglasgow.bsky.social · 16/12/2024
Full length paper entitled “A Multi-modal Recipe for Improved Multi-domain Recommendation” has been accepted at #ecir2025 - work by @zixuanyi.bsky.social and @iadhounis.bsky.social
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Reposted by Andreas Chari
Glasgow IR Group @irglasgow.bsky.social · 16/12/2024
#IR4Good paper entitled “Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer” has been accepted to #ecir2025 - work by @andreaschari.bsky.social @macavaney.bsky.social and @iadhounis.bsky.social
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Reposted by Andreas Chari
Glasgow IR Group @irglasgow.bsky.social · 21/11/2024
Tomorrow, in our weekly reading group series, we will be discussing the recent Nature paper entitled “Detecting hallucinations in large language models using semantic entropy“ by Farquhar et al. #IRGlasgowReadingGroup www.nature.com/articles/s41...
nature.com
Detecting hallucinations in large language models using semantic entropy - Nature
Hallucinations (confabulations) in large language model systems can be tackled by measuring uncertainty about the meanings of generated responses rather than the text itself to improve question-a...
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Reposted by Andreas Chari
Zixuan Yi @zixuanyi.bsky.social · 18/11/2024
Today, Aixin Sun from the Nanyang Technological University is giving an #IRTalk entitled "Understanding and Evaluating Recommender Systems from a User Perspective". Details: samoa.dcs.gla.ac.uk/events/viewt... @uofgcompsci.bsky.social @irglasgow.bsky.social
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Reposted by Andreas Chari
Jack McKechnie @jackmckechnie.bsky.social · 18/11/2024
At 15:00 on 25th November, Jianling Wang from Google DeepMind will give an #IRTalk entitled "When LLMs Meet Recommendations: Scalable Hybrid Approaches to Enhance User Experiences". Details: samoa.dcs.gla.ac.uk/events/viewt... @uofgcompsci.bsky.social @irglasgow.bsky.social
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Reposted by Andreas Chari
Javier Sanz-Cruzado @javiersanzcruza.bsky.social · 18/11/2024
Hello everyone! Happy to be here! If you are interested on the research that we do at @irglasgow.bsky.social (IR, RecSys, NLP), I have created an starter pack for you! Access it here: go.bsky.app/BM6iHbU I will keep updating it over time as more people in our team join BlueSky!
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