The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
Benchmarks for automated commonsense reasoning: A survey
E Davis - ACM Computing Surveys, 2023 - dl.acm.org
More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
Grounding large language models in interactive environments with online reinforcement learning
Recent works successfully leveraged Large Language Models'(LLM) abilities to capture
abstract knowledge about world's physics to solve decision-making problems. Yet, the …
abstract knowledge about world's physics to solve decision-making problems. Yet, the …
Cognitive architectures for language agents
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks
We introduce SwiftSage, a novel agent framework inspired by the dual-process theory of
human cognition, designed to excel in action planning for complex interactive reasoning …
human cognition, designed to excel in action planning for complex interactive reasoning …
Agenttuning: Enabling generalized agent abilities for llms
Open large language models (LLMs) with great performance in various tasks have
significantly advanced the development of LLMs. However, they are far inferior to …
significantly advanced the development of LLMs. However, they are far inferior to …
Put your money where your mouth is: Evaluating strategic planning and execution of llm agents in an auction arena
Recent advancements in Large Language Models (LLMs) showcase advanced reasoning,
yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates …
yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates …
Understanding the planning of LLM agents: A survey
As Large Language Models (LLMs) have shown significant intelligence, the progress to
leverage LLMs as planning modules of autonomous agents has attracted more attention …
leverage LLMs as planning modules of autonomous agents has attracted more attention …
Fusing pre-trained language models with multimodal prompts through reinforcement learning
Abstract Language models are capable of commonsense reasoning: while domain-specific
models can learn from explicit knowledge (eg commonsense graphs [6], ethical norms [25]) …
models can learn from explicit knowledge (eg commonsense graphs [6], ethical norms [25]) …
T-eval: Evaluating the tool utilization capability of large language models step by step
Large language models (LLMs) have achieved remarkable performance on various NLP
tasks and are augmented by tools for broader applications. Yet, how to evaluate and …
tasks and are augmented by tools for broader applications. Yet, how to evaluate and …