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A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
communities. Previous research often focuses on training agents with limited knowledge …
Unleashing the potential of prompt engineering in large language models: a comprehensive review
B Chen, Z Zhang, N Langrené, S Zhu - ar** a taxonomy for harm reduction
Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …
practitioners to better anticipate consequences of the systems they build. It also supports the …
A design space for intelligent and interactive writing assistants
In our era of rapid technological advancement, the research landscape for writing assistants
has become increasingly fragmented across various research communities. We seek to …
has become increasingly fragmented across various research communities. We seek to …
Evaluating language models for mathematics through interactions
There is much excitement about the opportunity to harness the power of large language
models (LLMs) when building problem-solving assistants. However, the standard …
models (LLMs) when building problem-solving assistants. However, the standard …
User experience design professionals' perceptions of generative artificial intelligence
Among creative professionals, Generative Artificial Intelligence (GenAI) has sparked
excitement over its capabilities and fear over unanticipated consequences. How does GenAI …
excitement over its capabilities and fear over unanticipated consequences. How does GenAI …
Does writing with language models reduce content diversity?
Large language models (LLMs) have led to a surge in collaborative writing with model
assistance. As different users incorporate suggestions from the same model, there is a risk of …
assistance. As different users incorporate suggestions from the same model, there is a risk of …
GPT detectors are biased against non-native English writers
GPT detectors frequently misclassify non-native English writing as AI generated, raising
concerns about fairness and robustness. Addressing the biases in these detectors is crucial …
concerns about fairness and robustness. Addressing the biases in these detectors is crucial …