Alexander Kotov

Associate Professor at Wayne State University: Information Retrieval, Natural Language Processing and Health Informatics

[Alexander Kotov @rusillini]

"Towards Mitigating Deceptive Safety Alignment in Large Reasoning Models" w/ @dongxiaozhu has been accepted at #neurips2026

[Alexander Kotov @rusillini]

Full paper "Dual Controller Architecture to Enable Adherence of LLM-based Counselors to Session- and Discourse-level Aspects of Motivational Interviewing Theory" w/ @a_carcone
accepted at the main track of #emnlp2026

[Alexander Kotov @rusillini]

"Conversational Entity Retrieval from a Knowledge Graph using Aggregation of Fine-grained Relevance Signals with Graph Convolutions and Self-Attention" w/@MonaZamiri accepted as a full paper at #wsdm2026

[Alexander Kotov @rusillini]

Full paper "Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph" accepted to #thewebconf2024

[Alexander Kotov @rusillini]

"Bayesian approach to incorporating different types of biomedical knowledge bases into information retrieval systems for clinical decision support in precision medicine" w @sBalaneshin published by the J Biomed Inform #ir #cancer #genomics #CDS https://t.co/87J6LKpYNl

[Alexander Kotov @rusillini]

"Joint Word and Entity Embeddings for Entity Retrieval from Knowledge Graph" w/ Fedor Nikolaev accepted as a full paper to #ECIR2020

[Alexander Kotov @rusillini]

Preprint of our #cikm2018 paper "Attentive Neural Architecture for Ad-hoc Structured Document Retrieval" https://t.co/ND7PSZ6WN8 . Will be presented in Session 7E 10:30am - noon on Oct 25. See you in Turin!

[Ben Carterette @BenCarterette]

Internships with my team @SpotifyResearch in NYC! ML for search and recommendations, user modeling, evaluation+experimentation. Apply by Dec 16: https://t.co/uAn1yElEJo

[Alexander Kotov @rusillini]

@guidozuc @UQ_News @IELabGroup Congratulations, Guido! Best of luck with your new adventure!

[Russ Salakhutdinov @rsalakhu]

Introducing a new dataset: HotpotQA A Dataset for Diverse, Explainable Multi-hop Question Answering, featuring natural, multi-hop questions.
Code, #emnlp2018 paper, leaderboard: https://t.co/hbMQkswJV1
Joint efforts by teams from CMU, Stanford, and Montreal.

[Alexander Kotov @rusillini]

Releasing source code https://t.co/4BIzvjJW2i for template-based Question-guided Search Engine proposed in our WWW 2010 paper https://t.co/j4vt5kQTs0. Can be used as a baseline for neural conversational search systems after some brushing up #ConversationalIR #QuestionGeneration

[Alexander Kotov @rusillini]

"Attentive Neural Architecture for Ad-hoc Structured Document Retrieval" w/ @sBalaneshin and Fedor Nikolaev accepted as full paper to #cikm2018

[Aixin Sun @AixinSG]

Grace has done a great job presenting our work on medical IR #sigir2018

[Edgar Meij @edgarmeij]

Slides for our tutorial "Utilizing KGs for Text-centric Information Retrieval" (with @lauradietz99 & @rusillini) " can be found at https://t.co/jdvLoySHQN. References at https://t.co/mietKCemzy #sigir2018 #KG4IR

[Michael Figurnov @mfigurnov]

Do you want to train Latent Dirichlet Allocation the same way as a Variational Autoencoder? TensorFlow Probability now includes an example on how to do this! https://t.co/GcynEfE7nA

[Alexander Kotov @rusillini]

Application deadline for RuSSIR 2018 is coming up (June 17) https://t.co/iV2MAsjYjF

[Leo Boytsov @srchvrs]

A fantastic real (not crowdsourced!) data of 170K real dialogs of which 100K have at least three turn!!! collected by @LTIatCMU folks https://t.co/hZBFZX4i5k

[Jaime Teevan @jteevan]

Want to develop AI expertise? This is a really interesting new opportunity to gain skills and hands-on experience by working alongside prominent AI researchers and engineers. https://t.co/hKVlbNrIb2

[Alexander Kotov @rusillini]

@diazf_acm Congratulations, Fernando!

[Alexander Kotov @rusillini]

#cikm17 short paper w/ CUNY collaborators on creating review summaries around sentiment-specific topics https://t.co/qrRzWBhFPl