🤔 Can we bridge MLLMs and diffusion models more natively and efficiently, by having MLLMs produce patch-level CLIP latents already aligned with their visual encoders, while fully preserving MLLM's visual reasoning capabilities?
Introducing Bifrost-1: 🌈
> High-Fidelity…
Attribution is key to being able to audit an LLM's generations, but is only useful when it is high precision. LAQuer requires models to attribute arbitrary spans in the output to fine-grained source spans, making checking for factuality in the output faster and easier on…
Attribution is key to being able to audit an LLM's generations, but is only useful when it is high precision. LAQuer requires models to attribute arbitrary spans in the output to fine-grained source spans, making checking for factuality in the output faster and easier on…
Huge thanks to @_akhaliq for the shoutout to our paper on building a unified framework to teach models how to invoke tools in a multi turn reasoning setup via RL. Further details in the thread: x.com/joykiratsingh/…
Huge thanks to @_akhaliq for the shoutout to our paper on building a unified framework to teach models how to invoke tools in a multi turn reasoning setup via RL. Further details in the thread: x.com/joykiratsingh/…
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