Researchers have proposed a method for monitoring bird species using machine learning models running on inexpensive microcontrollers in the field. The...
Researchers conducted a study on how the tone of chatbots affects user experience and task success. They created two versions of a chatbot called NAVI...
Researchers have created a new benchmark called PhotoBench to improve personalized photo retrieval. Unlike existing benchmarks that rely on web snapsh...
Researchers have proposed a method called DiSE for self-evaluation of diffusion language models. DiSE works by calculating the probability that a gene...
Researchers have developed an online learning algorithm that significantly improves the data efficiency of reinforcement learning from human feedback....
Researchers propose InverFill, a one-step inversion method for image inpainting that injects semantic information from the input masked image into the...
Researchers have created a large-scale dataset called DF3DV-1K to help improve the development of 'distractor-free' vision systems. This dataset inclu...
Researchers have developed ChemGraph-XANES, a framework for simulating and curating X-ray absorption near-edge structure (XANES) data. The agentic fra...
Researchers have proposed using complete cyclic subtask graphs to improve the performance of large language model (LLM) agents in long-horizon tool-us...
Researchers have found that fine-tuning language models for specific tasks can cause them to lose their ability to refuse harmful requests. This is a ...
Researchers have proposed a new method for on-policy distillation called Preference-Based Self-Distillation (PBSD). Unlike previous methods that rely ...
Researchers have developed GRALIS, a new method for explaining how deep neural networks make decisions. GRALIS combines two existing methods, coalitio...