Mark Stevenson (@drmarkstevenson) 's Twitter Profile
Mark Stevenson

@drmarkstevenson

Senior Lecturer at @shefcompsci Member of @SheffieldNLP Natural Language Processing, Text Analytics, Data Science, Artificial Intelligence

ID: 262191481

linkhttp://staffwww.dcs.shef.ac.uk/people/M.Stevenson/ calendar_today07-03-2011 15:12:41

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Nikos Aletras (@nikaletras) 's Twitter Profile Photo

Job opportunity Sheffield NLP 🚨: I'm looking for a #postdoc (24 months) in #NLProc The (very) broad topic is on addressing LLMs limitations (e.g. hallucinations, "reasoning", interpretability etc.) If you are interested drop me an email or DM Apply: jobs.ac.uk/job/DHP918/res…

Sheffield NLP (@sheffieldnlp) 's Twitter Profile Photo

This week Mark Stevenson and colleagues from Xi'an Jiaotong-Liverpool University are presenting their paper at LREC-COLING-2024 #NLProc #MachineLearning Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach Preprint: arxiv.org/abs/2401.11145

Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

It’s a wrap for the ⁦SIGIR 2025⁩ tutorial “High Tecall Retrieval Via Technology Assisted Review” Thanks to all the presenters for the interesting day ⁦Eugene Yang⁩ ⁦David D. Lewis (@[email protected])⁩ ⁦Jeremy Pickens⁩ Lenora Gray

It’s a wrap for the ⁦<a href="/SIGIRConf/">SIGIR 2025</a>⁩ tutorial “High Tecall Retrieval Via Technology Assisted Review” Thanks to all the presenters for the interesting day ⁦<a href="/EYangTW/">Eugene Yang</a>⁩ ⁦<a href="/davelewisdotir/">David D. Lewis (@davelewis@sigmoid.social)</a>⁩ ⁦<a href="/jerepick/">Jeremy Pickens</a>⁩ Lenora Gray
Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

We'll be presenting our ToIS paper "Stopping Methods for Technology-assisted Reviews Based on Point Processes" dl.acm.org/doi/pdf/10.114… during #SIGIR2024 Session T1.2 (Domain Specific)

Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

Presenting "RLStop: A Reinforcement Learning Stopping Method for TAR" dl.acm.org/doi/pdf/10.114… at SIGIR 2025 poster session. First application of reinforcement learning to the problem of deciding when to stop examining documents and outperforms existing approaches. #sigir2024

Presenting "RLStop: A Reinforcement Learning Stopping Method for TAR" dl.acm.org/doi/pdf/10.114… at <a href="/SIGIRConf/">SIGIR 2025</a> poster session. First application of reinforcement learning to the problem of deciding when to stop examining documents and outperforms existing approaches. #sigir2024
Sheffield NLP (@sheffieldnlp) 's Twitter Profile Photo

Only about two weeks to apply for joining our group as a Senior Lecturer⭐️ Please contact Nikos Aletras, our head of group, for more information

CDT in Speech and Language Technologies (@sltcdt) 's Twitter Profile Photo

Do you need to #find #information within large #collections of #documents? Technology Assisted Review could help you! Aaron Fletcher and Mark Stevenson will be giving a #tutorial at BCS IRSG's Search Solutions 2024 (afternoon session of 26 Nov). bcs.org/membership-and…

Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

New paper: "Computer-assisted screening in systematic evidence synthesis requires robust and well-evaluated stopping criteria" …maticreviewsjournal.biomedcentral.com/articles/10.11… with Max Callaghan Declan Devane Wojciech Kusa 🇪🇺🇺🇦 Alison O'Mara-Eves @James_M_Thomas and others

Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

New article in The Conversation about how LLMs work. It’s intended for a lay audience so hopefully the explanations are clear! theconversation.com/large-language…

Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

Pre-print of SIGIR 2025 #SIGIR2025 paper w/Reem Bin-Hezam “A Generalised and Adaptable Reinforcement Learning Stopping Method” arxiv.org/abs/2505.01907 GRLStop enhances RL-based stopping methods to reduce the effort required to screen collections for relevance.

Mark Stevenson (@drmarkstevenson) 's Twitter Profile Photo

New paper "Predicting retracted research: a dataset and machine learning approaches" rdcu.be/eqrgY with Aaron Fletcher TLDR: ML can support identification of potentially problematic research