🤔 What Matters in Data for DPO? I asked myself this question a few days ago while trying to understand how to generate a dataset with preferences to run #DPO. This recent #NeurIPS paper answered some of my questions. The findings are simple but crucial for data creation:
🎓 Come and join our group! 🎓
We offer 2 fully funded PhD positions:
🌍 Human-Centred Evaluation Frameworks for Multilingual Technologies (A6)
🤖 Multimedia Personalization with Multimodal Large Language Models (A7)
⏰ Deadline: 15 May 2026
🔗 Details: https://iecs.unitn.it/education/admission/call-for-application
Our pick of the week by
@FBKZhihangXie
: "Detecting Hallucination in SpeechLLMs at Inference Time Using Attention Maps" by @JWaldendorf, Bashar Awwad Shiekh Hasan and Evgenii Tsymbalov
📰
#SpeechLLM #Hallucination
🚀 New paper: Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
📄 http://arxiv.org/abs/2604.19565
🧩 Lightweight inference-time detection for SpeechLLM hallucinations via audio attention.
✨ Attention classifiers beat uncertainty baselines on ASR and S2TT.
🚀 New Shared Task: Model Compression for Machine Translation at #WMT2026 (co-located with #EMNLP2026)!
📅 Test data out on June 18th, submissions by July 2nd!
Can you shrink an LLM and keep translation quality high? 🧠🔧
👉 https://www2.statmt.org/wmt26/model-compression.html #NLP #ML #LLM #ModelCompression