Manchester NLP
@Manchester_NLP
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The Natural Language Processing Group at the University of Manchester | @OfficialUoM
Manchester
Joined November 2023
BEDAA: Bayesian Enhanced DeBERTa for Uncertainty-Aware Authorship Attribution：
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SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling：
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Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching：
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FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading：
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EMPEC: A Comprehensive Benchmark for Evaluating Large Language Models Across Diverse Healthcare Professions：
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Can MLLMs Understand the Deep Implication Behind Chinese Images?：
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Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems：
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RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information：
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Delighted to share the #ACL2025 and TACL papers (10 in total) from the @manchester_nlp group! Come chat with our staff and students in Vienna! 🇦🇹
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RT @tylerl404: Happy to announce our journal paper on tongue twisters, Train and Constrain (TwistList 2.0), has now been officially publish….
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RT @UK_healtex: #HealTAC2025 has kicked off with a full house at the DATAMIND workshop on "Mental Health & the New NLP". #HealthTech #LLMs….
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RT @chenghua_lin: 🎶 Don’t miss our Workshop on LLMs for Music & Audio (LLM4Music) at #ISMIR2025 in Korea 🇰🇷! Check out the submission detai….
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Explore our team, projects, tools & papers — from explainability to environmental science, logic, cybersecurity & more. Feel free to have a browse and share with your networks!.
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Just wanted to share our updated Artemis Lab website on LinkedIn: 🥳. The Artemis Lab at @OfficialUoM unites NLP researchers past & present to solve real-world problems through interdisciplinary collab.
artemislab.info
Artemis Research Lab is dedicated to pioneering scientific discoveries and innovative solutions across various fields. Our mission is to advance knowledge through cutting-edge research, impactful...
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Prof. Steffen Eger (@egere14) from UTN gave a fantastic talk on "Literary Translation in the Era of LLMs" at our NLP group seminar ✏️📖
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RT @HuggingPapers: New method for robust and efficient LLM-based NLG evaluation. An inversion learning method that learns effective reverse….
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If you are attending #NAACL2025 in Albuquerque, check out the papers from @manchester_nlp !🤠🍻🍹
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RT @siweiwu7: [1/n] Delighted to share our new work "COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with H….
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RT @Sandy_wx95: 1/n Delighted to share the release of our new preprint "ContrastScore: Towards Higher Quality, Less Biased, More Efficient….
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