This paper presents a new conversational model for human-robot interaction that uses a graph-based representation of the dialogue state. The knowledge graph is continuously updated with new observations from the…
Continue readingThis paper presents a new automation paradigm, Agentic Process Automation (APA), which uses Large Language Models (LLMs) to offload human labor in both the construction and execution of tasks. The…
Continue readingThis research explores the use of large language models (LLMs) for generating programs for service mobile robots. The authors introduce two contributions: CODEBOTLER, an open-source robot-agnostic tool for programming service…
Continue readingThe article discusses the rapidly expanding adoption of generative AI technologies, particularly in services providing increasingly precise responses. The authors evaluated how current AI services meet user needs and examined…
Continue readingThis academic article discusses the security vulnerabilities in Reinforcement Learning with Human Feedback (RLHF) in Large Language Models (LLMs). RLHF plays a crucial role in aligning LLMs with human preferences….
Continue readingThe study investigates the biases in large language models (LLMs) when handling subjective natural language processing (NLP) tasks. Using the POPQUORN dataset, the study tests LLMs on their understanding of…
Continue readingThe study presents a systematic evaluation of how social roles in system prompts influence the performance of large language models (LLMs). The researchers curated a list of 162 roles spanning…
Continue readingThis study investigates the use of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. The research evaluates the LLM’s ability to engage in empathetic and adaptable…
Continue readingThe study investigates how undergraduate computer science students utilize ChatGPT, a popular large language model (LLM) developed by OpenAI. Using student surveys and interviews, the researchers found that over 57%…
Continue readingThe study investigates the advantages and bottlenecks of Large Language Models (LLMs) in addressing Text-rich Visual Question Answering (VQA) tasks. These tasks involve both image comprehension and text recognition. The…
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