UCL Natural Language Processing @ucl_nlp
NLP/ML research group at @UCLCS nlp.cs.ucl.ac.uk London, England Joined April 2013-
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My amazing collaborators will be presenting two works at NeurIPS (@NeurIPSConf) on neuro-symbolic diffusion models (by the nesy superstar @EmilevanKrieken) and on multi-modal long-context evaluation! (led by the incredible @ZhaoweiWang4) 👇
We introduce PiCSAR (Probabilistic Confidence Selection And Ranking)💡: A simple training-free method for scoring samples based on probabilistic confidence, selecting a reasoning chain with the highest confidence from multiple sampled responses. ✏️PiCSAR is generalisable across…
We propose Neurosymbolic Diffusion Models! We find diffusion is especially compelling for neurosymbolic approaches, combining powerful multimodal understanding with symbolic reasoning 🚀 Read more 👇
New work! 💪🏻💥🤯 When Can Proxies Improve the Sample Complexity of Preference Learning? Our paper is accepted at @icmlconf 2025. Fantastic joint work with @spectraldani @Zhengyan_Shi @Mengyue_Yang_ @PMinervini @alexdamour, Matt Kusner. 1/n
Happy to share that our work won the best paper award at ESANN 2025! 🚀 Huge thanks to my amazing co-authors @zignoai @PMinervini ✨ Read here: doi.org/10.14428/esann…
Presenting this today 3-530 at poster #208, come say hi 🙋♀️
NAACL 2025 Oral Presentation💥 Our work about using Sparse AutoEncoder to resolve knowledge conflict will present on 30 Apr 11:30–11:45 AM • Ballroom C Thank Hongru for presenting our work!!!
NAACL 2025 Oral Presentation💥 Our work about using Sparse AutoEncoder to resolve knowledge conflict will present on 30 Apr 11:30–11:45 AM • Ballroom C Thank Hongru for presenting our work!!!
Hi! I will be attending #NAACL2025 and presenting our paper on self-training for tool-use today, an extended work of my MSc dissertation at @EdinburghNLP, supervised by @PMinervini. Time: 14:00-15:30 Location: Hall 3 Let’s chat and connect!😊
My amazing collaborators will present several works at ICLR and NAACL later this month -- please catch up with them if you're attending! I tried to summarise our recent work in a blog post: neuralnoise.com/2025/march-res…
Still ~8 days to apply for a postdoc position in multimodal foundation models at @InfAtEd -- plenty of research freedom and compute; funded until 2029; and the research teams are outstanding! neuralnoise.com/2025/multimoda…
Still ~10 days to apply! Fully funded until 2029, and includes access to our HPC infra and some amazing teams! @EdinburghNLP
Still ~10 days to apply! Fully funded until 2029, and includes access to our HPC infra and some amazing teams! @EdinburghNLP
Can multimodal LLMs truly understand research poster images?📊 🚀 We introduce PosterSum—a new multimodal benchmark for scientific poster summarization! 🪧 📂 Dataset: huggingface.co/datasets/rohit… 📜 Paper: arxiv.org/abs/2502.17540
We find a single biased direction encodes a KV Cache selection mechanism in Self-Attention -- Key vector with a strong component in this direction results in this Key-Value pair being ignored by Query🚀🚀🚀
We find a single biased direction encodes a KV Cache selection mechanism in Self-Attention -- Key vector with a strong component in this direction results in this Key-Value pair being ignored by Query🚀🚀🚀
Our Generative AI Hub (genai.ac.uk) will soon be hiring a Research Fellow to work on multi-modal AI models at @InfAtEd! If you're interested, please watch this space! 🚀🚀🚀
Our Generative AI Hub (genai.ac.uk) will soon be hiring a Research Fellow to work on multi-modal AI models at @InfAtEd! If you're interested, please watch this space! 🚀🚀🚀
MLLMs can do amazing things but still struggle parsing clocks and calendars 😅 I'm wondering if "more (synth?) data/GPUs!" will do the trick or if we need something else
MLLMs can do amazing things but still struggle parsing clocks and calendars 😅 I'm wondering if "more (synth?) data/GPUs!" will do the trick or if we need something else
LLMs can tackle math olympiad probs but... can they read a clock 🤔? 🕰️📆 Our experiments reveal surprising failures in temporal reasoning—MLLMs struggle with analogue clock reading & date inference! Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs
Our work on fixing and improving MMLU ("Are We Done with MMLU?", arxiv.org/abs/2406.04127; NAACL 2025) is featured on the DeepSeek (@deepseek_ai) home page! deepseek.com -- it's always amazing to see real-world applications and impact of academic research 🚀🚀🚀
Our work on fixing and improving MMLU ("Are We Done with MMLU?", arxiv.org/abs/2406.04127; NAACL 2025) is featured on the DeepSeek (@deepseek_ai) home page! deepseek.com -- it's always amazing to see real-world applications and impact of academic research 🚀🚀🚀 https://t.co/viq4acYmp2

Delip Rao e/σ @deliprao
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