Projector Is All You Train
Researchers from the University of California, Berkeley, have published a paper proposing a new approach to training multimodal large language models....
Researchers from the University of California, Berkeley, have published a paper proposing a new approach to training multimodal large language models....
Researchers have created a sandbox called Thinkingbox to test the reliability of artificial agents in complex business workflows. The sandbox allows f...
Researchers have introduced PersonalBench, a benchmark for evaluating personalized text generation in large language models (LLMs). The benchmark asse...
Researchers have developed FlashPrefill V2, an improved version of their previous work on long-context modeling for Large Language Models. The new sys...
Researchers have created SWE-bench Science, a benchmark to evaluate coding agents' ability to resolve engineering tasks in science. The benchmark cons...
Researchers from Bin Zhu, Yi Xie, and Yanghui Rao have proposed a method to design judge panels for Large Language Models (LLMs). The approach, called...
Researchers from AWS Labs have developed a new method for fine-tuning transformer language models with sparse attention. Their approach allows models ...
Researchers have developed a new framework for detecting sarcasm in text and images. The framework uses a combination of techniques to identify incons...
Researchers have developed an open benchmark for natural language code retrieval in the 1C:Enterprise ecosystem. This system combines Russian syntax w...
Researchers have developed a new approach to multimodal sentiment analysis that can handle incomplete or corrupted inputs. Their method, called iterat...
Researchers have developed a benchmark called HealMed to evaluate the performance of large language models in medicine across multiple languages. The ...
Researchers propose a framework for evaluating the fairness of language models across different languages. Current evaluation methods focus on English...