RT @ArchikiPrasad: 📢 Excited to share our new paper, where we introduce, ✨GrAInS✨, an inference-time steering approach for LLMs and VLMs v….

RT @duynguyen772: 🚀 We introduce GrAInS, a gradient-based attribution method for inference-time steering (of both LLMs & VLMs). ✅ Works fo….

RT @mmiemon: Checkout our new paper: Video-RTS 🎥.A data-efficient RL method for complex video reasoning tasks. 🔹 Pure RL w/ output-based re….

RT @jmin__cho: 🥳 Gap year update: I'll be joining @allen_ai/@UW for 1 year (Sep2025-Jul2026 -> @JHUCompSci) & looking forward to working wi….

RT @unccollege: As a @UNC student, Amy Xu ’25 used Carolina's makerspaces to build the escape room puzzles found in Chapel Thrill Escapes,….

RT @meetdavidwan: 🎉 Our paper, GenerationPrograms, which proposes a modular framework for attributable text generation, has been accepted t….

RT @vaidehi_patil_: The MUGen workshop at #ICML2025 is happening now!. Stop by for talks on adversarial ML, unlearning as rational belief r….

RT @ArchikiPrasad: I’ll be at #ICML2025 this week to present ScPO:. 📌 Wednesday, July 16th, 11:00 AM-1:30 PM.📍East Exhibition Hall A-B, E-2….

RT @peterbhase: Overdue job update -- I am now:.- A Visiting Scientist at @schmidtsciences, supporting AI safety and interpretability.- A V….

RT @ArchikiPrasad: 🎉 Glad to see our work on handling conflicting & noisy evidence and ambiguous queries in RAG systems (via a new benchmar….

RT @HanWang98: 🥳 Excited to share our work -- Retrieval-Augmented Generation with Conflicting Evidence -- on addressing conflict in RAG due….

RT @_akhaliq: Video-RTS. Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning .

RT @ZiyangW00: 🚨Introducing Video-RTS: Resource-Efficient RL for Video Reasoning with Adaptive Video TTS! . While RL-based video reasoning….

RT @prateeky2806: I've officially joined Meta Superintelligence Labs (MSL) org in the Bay Area. I'll be working on critical aspects of pre-….

RT @EliasEskin: 🎉 Very excited to see TaCQ — our work on task-conditioned mixed-precision quantization that draws on interpretability metho….

Breaking: @unccs Ron Alterovitz's research in @SciRobotics shows AI-guided robots outperform human physicians in medical needle procedures. These robots achieve unprecedented precision and can steer curved needles through the body to safely reach targets.

RT @hanqi_xiao: 🎉 Excited to share that TaCQ (Task-Circuit Quantization), our work on knowledge-informed mixed-precision quantization, has….

RT @ArchikiPrasad: 🥳Our work UTGen & UTDebug on teaching LLMs to generate effective unit tests & improve code debugging/generation has been….

RT @mohitban47: 🎉 Yay, welcome @hyunji_amy_lee -- super excited to have you join us as a postdoc! 🤗. Welcome to our MURGe-Lab + @unc_ai_gro….

RT @hyunji_amy_lee: 🥳Excited to share that I’ll be joining @unccs as postdoc this fall. Looking forward to work with @mohitban47 & amazing….