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Tool learning with foundation models
Humans possess an extraordinary ability to create and utilize tools. With the advent of
foundation models, artificial intelligence systems have the potential to be equally adept in …
foundation models, artificial intelligence systems have the potential to be equally adept in …
A survey of controllable text generation using transformer-based pre-trained language models
Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …
generation (NLG). It is regarded as crucial for the development of advanced text generation …
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …
are set to reach a growing audience in coming years due to integration in product interfaces …
An augmented benchmark dataset for geometric question answering through dual parallel text encoding
J Cao, J **ao - Proceedings of the 29th international conference …, 2022 - aclanthology.org
Automatic math problem solving has attracted much attention of NLP researchers recently.
However, most of the works focus on the solving of Math Word Problems (MWPs). In this …
However, most of the works focus on the solving of Math Word Problems (MWPs). In this …
Cue-CoT: Chain-of-thought prompting for responding to in-depth dialogue questions with LLMs
Large Language Models (LLMs), such as\texttt {ChatGPT}, greatly empower dialogue
systems with strong language understanding and generation capabilities. However, most of …
systems with strong language understanding and generation capabilities. However, most of …
Writer-defined AI personas for on-demand feedback generation
Compelling writing is tailored to its audience. This is challenging, as writers may struggle to
empathize with readers, get feedback in time, or gain access to the target group. We …
empathize with readers, get feedback in time, or gain access to the target group. We …
Can LLM be a Personalized Judge?
Ensuring that large language models (LLMs) reflect diverse user values and preferences is
crucial as their user bases expand globally. It is therefore encouraging to see the growing …
crucial as their user bases expand globally. It is therefore encouraging to see the growing …
Large language models as source planner for personalized knowledge-grounded dialogue
Open-domain dialogue system usually requires different sources of knowledge to generate
more informative and evidential responses. However, existing knowledge-grounded …
more informative and evidential responses. However, existing knowledge-grounded …
Unims-rag: A unified multi-source retrieval-augmented generation for personalized dialogue systems
Large Language Models (LLMs) has shown exceptional capabilities in many natual
language understanding and generation tasks. However, the personalization issue still …
language understanding and generation tasks. However, the personalization issue still …
A model-agnostic data manipulation method for persona-based dialogue generation
Towards building intelligent dialogue agents, there has been a growing interest in
introducing explicit personas in generation models. However, with limited persona-based …
introducing explicit personas in generation models. However, with limited persona-based …