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'Mitigating Open-Vocabulary Caption Hallucinations' is accepted to EMNLP 2024! 🎉 t.ly/cBQM0 TL;DR OpenCHAIR: an open-vocabulary hallucination benchmark MOCHa: RLAIF framework for hallucination reduction A great coop with Moran Yanuka Morris Alper Raja Giryes 💔 Hadar Averbuch-Elor

Excited to introduce SketchAgent!👩‍🎨 We leverage the prior of pretrained multimodal LLMs for language-driven, sequential sketch generation and human-agent collaborative sketching! ✨ Try our fun interface here: github.com/yael-vinker/Sk…

Dense captions are highly informative! But it turns out that sometimes they can be overly detailed.. 🤔📚 A great work led by Moran Yanuka!

DeciMamba, the first context extension method for Mamba, is accepted to #ICLR2025! 🎉 New revision with more long-context results: arxiv.org/abs/2406.14528 github.com/assafbk/DeciMa… Special thanks to Itamar Zimerman Shady Abu-Hussein Nadav Cohen Amir Globerson liorwolf Raja Giryes 💔 !

SketchAgent has been accepted to #CVPR2025 ! This is an early step toward new tools for visual thinking and richer interaction with LLMs 🎨 🔗 sketch-agent.csail.mit.edu

The next frontier for AI shouldn’t just be generally helpful. It should be helpful for you! Our new paper shows how to personalize LLMs — efficiently, scalably, and without retraining. Meet PReF (arxiv.org/abs/2503.06358) 1\n

Very nice deep dive explaining OPRM by Xiaoliu.x youtu.be/7_7kcJsJTLk?si…

Overflow Prevention Enhances Long-Context Recurrent LLMs OPRM chunk-based inference: - Split the context into chunks - Process chunks in parallel (speculative prefill) - Select the best one (e.g., lowest entropy). - Decode only from that chunk Advantages: - No training required