Researchers have found that large language models can be biased by irrelevant text. When given extra information not related to the task at hand, thes...
Researchers have created a benchmark for detecting out-of-context misinformation in Nepal. The NepOOC-M benchmark includes 1,090 image-caption pairs t...
Researchers have developed a new Automatic Speech Recognition (ASR) system for the Mizo language. To improve the system's accuracy, they collected and...
Researchers have developed a new approach to detecting statistical watermarks in language models. These watermarks are hidden within the model's outpu...
Researchers have developed SynFlow, an open-source toolkit for analyzing how language usage changes over time. The tool allows for multidimensional an...
Researchers have developed a new benchmark called Hear2Act to evaluate how prosody affects task-oriented dialogue. The benchmark includes 480 scenario...
Researchers from Japan have developed a method to automatically generate diverse personas for user simulators in interview dialogue systems. This can ...
Researchers have developed a method to improve financial named entity recognition (NER) under domain shift. They tested their approach on three types ...
Researchers propose a framework for evaluating the memory commitment of large language models (LLMs) in various scenarios. They present a dataset call...
Researchers have developed a new framework called LifeMem to improve the performance of large language models (LLMs) in social simulation. Current met...
Researchers have developed ReCache, a framework that improves the efficiency of large language models (LLMs) by reducing their computational and memor...
Researchers have found that compressing large language models (LLMs) can lead to uneven effects on their performance. Specifically, compression tends ...