Here’s what caught our eye this past week.
FeatUp
- Use a multiview reconstruction loss to learn to upscale image features, for greater accuracy in downstream tasks like segmentation and depth estimation.
- Paper
EnvGen
- Use an LLM to generate environments that help RL models learn better.
- Paper
- Tweet
RAFT
- Finetune the LLM to ignore irrelevant information retrieved during RAG.
- Paper
When Do We Not Need Larger Vision Models?
- Use multi-resolution image features for improved vision and multimodal performance.
- Paper
- Code
- Tweet
- Extract information about an LLM’s architecture using just the output vector (logits).
- Paper
Evolutionary Optimization of Model Merging Recipes
- Uses evolutionary algorithms to merge the weights and architectures of foundation models.
- Paper
SceneScript
- Given a video of an environment, SceneScript outputs the commands necessary to make a 3D representation of the environment.
- Paper
- Announcement
LLM2LLM
- Use a large LLM to generate synthetic data tailored to help a smaller LLM address its weak spots during training.
- Paper
- Code
RewardBench
- A new benchmark for evaluating reward models, in the context of Reinforcement Learning from Human Feedback (RLHF).
- Code
- Paper
Reverse Training to Nurse the Reversal Curse
Vid2Robot
- A new method for generating robotic actions directly from videos of tasks.
- Project page
- Paper
DROID
- A new robot manipulation dataset with 350 hours of interaction data.
- Project page
MindEye2
PERL
- Use LoRA to train the reward model and policy model in RLHF.
- Paper
Grok-1
Inflection AI CEO leaving for Microsoft
- A co-founder of Inflection AI is leaving for Microsoft.
- Inflection AI raised $1.3 billion last June.
- Announcement
Stable Video 3D:
- Stability AI releases Stable Video 3D, a new image-to-3D model.
- Announcement
Runway + Musixmatch
- Partnership to allow artists to make lyric music videos using Runway.
- Announcement
Suno v3
- Startup releases a new version of their AI music generator. It’s safe to say musicians are here to stay, for now.
- Announcement + sample
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