Tptu: Task planning and tool usage of large language model-based ai agents
With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …
have emerged as powerful tools for various real-world applications. Despite their prowess …
Os-copilot: Towards generalist computer agents with self-improvement
Autonomous interaction with the computer has been a longstanding challenge with great
potential, and the recent proliferation of large language models (LLMs) has markedly …
potential, and the recent proliferation of large language models (LLMs) has markedly …
Chartgpt: Leveraging llms to generate charts from abstract natural language
The use of natural language interfaces (NLIs) to create charts is becoming increasingly
popular due to the intuitiveness of natural language interactions. One key challenge in this …
popular due to the intuitiveness of natural language interactions. One key challenge in this …
Self-contrast: Better reflection through inconsistent solving perspectives
The reflection capacity of Large Language Model (LLM) has garnered extensive attention. A
post-hoc prompting strategy, eg, reflexion and self-refine, refines LLM's response based on …
post-hoc prompting strategy, eg, reflexion and self-refine, refines LLM's response based on …
Large language models meet nlp: A survey
While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …
Leveraging large models for crafting narrative visualization: a survey
Narrative visualization effectively transforms data into engaging stories, making complex
information accessible to a broad audience. Large models, essential for narrative …
information accessible to a broad audience. Large models, essential for narrative …
Tablegpt: Towards unifying tables, nature language and commands into one gpt
L Zha, J Zhou, L Li, R Wang, Q Huang, S Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Tables are prevalent in real-world databases, requiring significant time and effort for humans
to analyze and manipulate. The advancements in large language models (LLMs) have …
to analyze and manipulate. The advancements in large language models (LLMs) have …
Precedent-enhanced legal judgment prediction with llm and domain-model collaboration
Legal Judgment Prediction (LJP) has become an increasingly crucial task in Legal AI, ie,
predicting the judgment of the case in terms of case fact description. Precedents are the …
predicting the judgment of the case in terms of case fact description. Precedents are the …
Agent-pro: Learning to evolve via policy-level reflection and optimization
Large Language Models exhibit robust problem-solving capabilities for diverse tasks.
However, most LLM-based agents are designed as specific task solvers with sophisticated …
However, most LLM-based agents are designed as specific task solvers with sophisticated …
Large language models for tabular data: Progresses and future directions
Tables contain a significant portion of the world's structured information. The ability to
efficiently and accurately understand, process, reason about, analyze, and generate tabular …
efficiently and accurately understand, process, reason about, analyze, and generate tabular …