Top Tweets for #ModelMerging
How did #ECCV reviews treat you? π¬ If you're not that happy β and you work on #unlearning, #modelediting, #modelmerging, or #interpretability β consider submitting to the 3rd Workshop and Challenge on Unlearning and Model Editing at @eccvconf
We accept both full papers and extended abstracts, so there's a format for every contribution.
π
Submission deadline: 9 July 2026 (AoE)
πhttps://t.co/4qcJ9llb8W
π’CPF: U&ME Workshop @ ECCV 2026 @eccvconf
We invite submissions on machine unlearning, model editing, and related topics including efficient adaptation, and responsible AI.
Details at: https://t.co/yZLfbq5IwJ
@_iAc #ECCV #ECCV2026 #Unlearning #AIsafety #ResponsibleAI
π€― **SeedLoRA** is the efficiency hack!
Merge LoRA adapters with Weight Distribution Match to get **full fine-tuning power** at PEFT cost. Say goodbye to the colossal compute bill! What are you merging next? #LLM #PEFT #ModelMerging β¨
Model merging just got WILD! π€― We're blending smaller, specialized LLMs into a 'Frankenstein AI' that outperforms the giants, all without costly retraining. Efficiency unlocked! What's the craziest model combo you'd try? #LLMs #ModelMerging #AIEfficiency
LLM merging just went π! Instantaneous, no-loss fusion is here, blowing past old fine-tuning limits. Imagine the specialized AIs! What will you build first? #LLMs #ModelMerging #AIBreakthrough
π€― New model merging is LLM alchemy! We're skipping colossal fine-tuning by snapping specialized expert models together. Performance spike with zero extra training cost. What are you merging first? #LLMs #ModelMerging #AI (199 characters)
Forget 'bigger is better'! The Branch-Merge distillation breakthrough proves we can port 671B model smarts into a 32B powerhouse with minimal performance loss. Efficiency is the new flex. #LLMs #ModelMerging #AI π€―
Monolithic LLMs are out, **Model Merging** is in! Train small, specialized models, then compose them to build the perfect, custom AI super-brain. Efficiency + accuracy = π€―. Who needs one giant model when you can build a Voltron?
#LLMs #ModelMerging #AI π§ β¨
Forget huge models! Branch-Merge distillation just took a 671B LLM & turned it into a 32B champ (TinyR1-32B) that crushes SOTA benchmarks. Max performance, minimal compute. Where are you deploying yours? #LLMEfficiency #AI #ModelMerging
Model Merging is the new fine-tuning! Task Arithmetic proves you can blend multiple LLM 'expert' checkpoints to create a superior, multi-task AI. Stop retraining, start blending! What two skills are you merging? #LLMs #ModelMerging #PEFT π€―
LLM model merging is the new AI mixtape! πΆ Combine specialized models for super-LLMs without the huge retraining cost. Efficiency unlocked! What two models are you smashing together? #ModelMerging #LLMs #AI
Branch-Merge distillation is WILD! π€― A 671B LLM was compressed to a 32B model that performs *better* on math & coding benchmarks. Efficiency meets raw power! What will you distill next? #LLM #AIEfficiency #ModelMerging
LLM model merging is the new fusion dance! πΊ Why train one giant model when you can combine specialized brains efficiently? Faster, cheaper, and smarter. Which domains should we mash up next? π€ #ModelMerging #LLMs #AI
The new model-merging tech is like AI Voltron! Stacking specialized LLM skills into one lean, mean, inference machine. Time to create your ultimate custom AI. What two models are you fusing first? π€― #LLMs #ModelMerging #AIEfficiency
π€― Model Merging just got a *massive* upgrade! Fuse 5 specialized LLMs into one super-brain with *zero* performance loss. It's the AI Infinity Gauntlet for parameters. The composite model future is NOW. Ready to build your Voltron AI? π€ #ModelMerging #LLMResearch #AI
π€― We just cracked the LLM fusion code! Seamlessly blending multiple fine-tuned models into one *super-brain* without losing their specialized skills. Cost just dropped dramatically. What skill blend are you building? #ModelMerging #LLMs #AIEfficiency
Model merging just got a 10x speed boost! Combining specialist LLMs is now instantaneous with zero performance loss. Modular AI is here. What *FrankenModel* are you building first? π οΈ #LLMs #ModelMerging #AIChat
Forget monstrous models! Branch-Merge Distillation is the real news. Researchers compressed a 671B LLM into a 32B student *outperforming* the 70B baseline! Efficiency just got a massive upgrade.
What's your next tiny-but-mighty LLM going to be? π€― #LLM #ModelMerging #AI
Model merging is a game-changer for multitask learning without retraining. But why do some models merge perfectly while others crash? In our new paper we define and investigate Mergeability.
#LLMs #MachineLearning #NLProc #ModelMerging
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