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🚨 New #TACL Paper Alert 🚨 We explore a crucial question in instruction tuning: should we weight prompt and response tokens differently in the loss function? Introducing Weighted Instruction Tuning - a simple idea that boosts generalization by up to +6.55% across 5 benchmarks!

I am attending #ACL2025. Happy to catch up to discuss our lab's work (LCS2 Lab) and opportunities at IIT Delhi. I also look forward to any constructive feedback related to organizing #EMNLP25. Meanwhile, plz take your time to decide the right track for your ARR paper to be

Excited to be in Vienna for #ACL2025! 🇦🇹 Please visit Hall 4/5 today (July 28) during: 📍 Poster Session | 🕕 18:00–19:30 CEST Stop by and say hi if you’re around! 👋✨ #NLPForGraphs #NLProc #KnowledgeGraphs