Sara Vera Marjanovic
@saravera.bsky.social
PhD fellow in XAI, IR & NLP
✈️ Mila - Quebec AI Institute | University of Copenhagen 🏰
#NLProc #ML #XAI
Recreational sufferer
✈️ Mila - Quebec AI Institute | University of Copenhagen 🏰
#NLProc #ML #XAI
Recreational sufferer
Pinned
Models like DeepSeek-R1 🐋 mark a fundamental shift in how LLMs approach complex problems. In our preprint on R1 Thoughtology, we study R1’s reasoning chains across a variety of tasks; investigating its capabilities, limitations, and behaviour.
🔗: mcgill-nlp.github.io/thoughtology/
🔗: mcgill-nlp.github.io/thoughtology/
Reposted by Sara Vera Marjanovic
Our new paper in #PNAS (bit.ly/4fcWfma) presents a surprising finding—when words change meaning, older speakers rapidly adopt the new usage; inter-generational differences are often minor.
w/ Michelle Yang, @sivareddyg.bsky.social , @msonderegger.bsky.social and @dallascard.bsky.social👇(1/12)
w/ Michelle Yang, @sivareddyg.bsky.social , @msonderegger.bsky.social and @dallascard.bsky.social👇(1/12)
July 29, 2025 at 12:06 PM
Our new paper in #PNAS (bit.ly/4fcWfma) presents a surprising finding—when words change meaning, older speakers rapidly adopt the new usage; inter-generational differences are often minor.
w/ Michelle Yang, @sivareddyg.bsky.social , @msonderegger.bsky.social and @dallascard.bsky.social👇(1/12)
w/ Michelle Yang, @sivareddyg.bsky.social , @msonderegger.bsky.social and @dallascard.bsky.social👇(1/12)
And thoughtology is now on Arxiv! Read more about R1 reasoning 🐋💭 across visual, cultural and psycholinguistic tasks at the link below:
🔗 arxiv.org/abs/2504.07128
🔗 arxiv.org/abs/2504.07128
April 11, 2025 at 4:31 PM
And thoughtology is now on Arxiv! Read more about R1 reasoning 🐋💭 across visual, cultural and psycholinguistic tasks at the link below:
🔗 arxiv.org/abs/2504.07128
🔗 arxiv.org/abs/2504.07128
Models like DeepSeek-R1 🐋 mark a fundamental shift in how LLMs approach complex problems. In our preprint on R1 Thoughtology, we study R1’s reasoning chains across a variety of tasks; investigating its capabilities, limitations, and behaviour.
🔗: mcgill-nlp.github.io/thoughtology/
🔗: mcgill-nlp.github.io/thoughtology/
April 1, 2025 at 8:07 PM
Models like DeepSeek-R1 🐋 mark a fundamental shift in how LLMs approach complex problems. In our preprint on R1 Thoughtology, we study R1’s reasoning chains across a variety of tasks; investigating its capabilities, limitations, and behaviour.
🔗: mcgill-nlp.github.io/thoughtology/
🔗: mcgill-nlp.github.io/thoughtology/
Reposted by Sara Vera Marjanovic
📚 How good are language models at utilising contexts in RAG scenarios?
We release 🧙🏽♀️DRUID to facilitate studies of context usage in real-world scenarios.
arxiv.org/abs/2412.17031
w/ @saravera.bsky.social, H.Yu, @rnv.bsky.social, C.Lioma, M.Maistro, @apepa.bsky.social and @iaugenstein.bsky.social ⭐️
We release 🧙🏽♀️DRUID to facilitate studies of context usage in real-world scenarios.
arxiv.org/abs/2412.17031
w/ @saravera.bsky.social, H.Yu, @rnv.bsky.social, C.Lioma, M.Maistro, @apepa.bsky.social and @iaugenstein.bsky.social ⭐️
A Reality Check on Context Utilisation for Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) helps address the limitations of the parametric knowledge embedded within a language model (LM). However, investigations of how LMs utilise retrieved information o...
arxiv.org
January 2, 2025 at 7:15 AM
📚 How good are language models at utilising contexts in RAG scenarios?
We release 🧙🏽♀️DRUID to facilitate studies of context usage in real-world scenarios.
arxiv.org/abs/2412.17031
w/ @saravera.bsky.social, H.Yu, @rnv.bsky.social, C.Lioma, M.Maistro, @apepa.bsky.social and @iaugenstein.bsky.social ⭐️
We release 🧙🏽♀️DRUID to facilitate studies of context usage in real-world scenarios.
arxiv.org/abs/2412.17031
w/ @saravera.bsky.social, H.Yu, @rnv.bsky.social, C.Lioma, M.Maistro, @apepa.bsky.social and @iaugenstein.bsky.social ⭐️