Xiao Wang
@Sandy_wx95
PhD student in the NLP group at the University of Manchester
Thanks for sharing our paper! Human evaluators respond differently to the same guidelines, so why assume a single evaluation prompt works for all LLMs? We tackle this by auto generating highly effective, model-specific evaluation prompts using inversion learning. Check it out
New method for robust and efficient LLM-based NLG evaluation An inversion learning method that learns effective reverse mappings from model outputs back to their input instructions, enabling the automatic generation of highly effective, model-specific evaluation prompts.
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! 🇦🇹
Introducing the 3rd edition of BioLaySumm shared task hosted at the BioNLP Workshop @ #ACL2025NLP ! biolaysumm.org BioLaySumm is a shared task that focuses on generating easy-to-understand lay summaries for complex biomedical texts. Building on the success of the first…
We’re pleased to share that the Manchester NLP Group will be presenting *11 papers* at #EMNLP2024. Feel free to drop by and chat with our students and colleagues during their poster sessions and presentations! 🐝🍻 @csmcr @manchester_nlp