content type videopublished July 20, 2023
NLU Workshop Talk: Towards Practical Use of Large Pre-Trained Language Models: Addressing Errors and Inconsistencies
AuthorsChris Manning (Stanford University)
Related readings and updates.
Environment-free Synthetic Data Generation for API-Calling Agents
July 21, 2026research area Methods and Algorithms
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable APIs and realistic, pre-populated backend databases, creating a major bottleneck for scalability. To overcome this, we propose an environment-free synthetic data generation approach that leverages LLMs as on-the-fly digital world…
RayRoPE: Projective Ray Positional Encoding for Multi-View Attention
July 20, 2026research area Computer Visionconference ECCV
We study positional encodings for multi-view transformers that process tokens from a set of posed input images, and seek a mechanism that encodes patches uniquely, allows SE(3)-invariant attention with multi-frequency similarity, and can be adaptive to the geometry of the underlying scene. We find that prior (absolute or relative) encoding schemes for multi-view attention do not meet the above desiderata, and present RayRoPE to address this gap…
Discover opportunities in Machine Learning.
Our research in machine learning breaks new ground every day.