Sara Salamat

MASc student @torontomet | Graduate Research Assistant at LS3 laboratory 👩‍💻

[Sara Salamat @sara_slmt]

Thrilled to share that I successfully defended my thesis today! 🎓✨ It’s been an incredible journey filled with learning, challenges, and growth. Grateful for the support of my advisors(@ebrahim_bagheri , @MortezaZihayat ), colleagues, and loved ones❤️

[Sara Salamat @sara_slmt]

In our work we show that the embedding of queries can be separated to semantics and difficulty of each query. We then use the difficulty representation for query performance prediction. Stay tuned for our preprint🥳 @cikm2023 #CIKM2023

[Sara Salamat @sara_slmt]

Happy to share that our paper "Neural Disentanglement of Query Difficulty and Semantics" has been accepted to
#CIKM2023 W/ @NegarEmpr @shirin_ssalehi_ @amin_bigdelii @MortezaZihayat and @ebrahim_bagheri

[Ebrahim Bagheri @ebrahim_bagheri]

#ResponsibleAI event was rewarding. Thanks to all who made it a rich experience @NSERC_CRSNG @NSERC_RAI @c_a_i_a_c @CIFAR_News @cephaloponderer @n_demarcellis @Eleni_Stroulia @SebastienGambs @NatMayerhofer @RahimiSamira @bfung123 @vavacolor @SashaMTL @BorealisAI @mathias_lecuyer

[Ebrahim Bagheri @ebrahim_bagheri]

Amazing Friday afternoon get-together! w/ Artin, Parham @sorooshsorkhani @radin_hrad Kent @MahdaviJaleh @sara_slmt @NegarEmpr @mdara000 #LS3 #research!

[Sara Salamat @sara_slmt]

We are having our poster session today at Goldsmith 3 from 5 pm to 6:30 pm. Drop by if you are around!😄 @ecir2023 #ECIR2023

[Sara Salamat @sara_slmt]

Delighted to share that our paper "Learning Query-Space Document Representations for High-Recall Retrieval" has been accepted to #ECIR2023 w/ @NegarEmpr, @FattaneZ ,@MortezaZihayat and @ebrahim_bagheri

[Sara Salamat @sara_slmt]

So Glad to share that our paper "Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments" has been accepted to #ECIR2023 w/ @NegarEmpr, @amin_bigdelii ,@shirin_ssalehi_ ,@MortezaZihayat and @ebrahim_bagheri