crêpe
PulseAugur coverage of crêpe — every cluster mentioning crêpe across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
LLMs struggle to distinguish between wrong answers and unanswerable questions
Researchers have identified two distinct axes of abstention in large language models: answer correctness and question answerability. Current models struggle to differentiate between refusing to answer an incorrect quest…
-
New CRePE method enhances LLM pruning efficiency
Researchers have developed CRePE, a new method for post-training pruning of large language models that improves efficiency by incorporating 2D local neighborhood context and adaptive coefficients. This approach outperfo…
-
New CRePE method improves camera control in video generation
Researchers have introduced Curved Ray Expectation Positional Encoding (CRePE), a novel method for enhancing camera-controlled video generation. CRePE addresses limitations in existing methods by providing a Unified Cam…