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 …
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 …
Agentcf: Collaborative learning with autonomous language agents for recommender systems
Recently, there has been an emergence of employing LLM-powered agents as believable
human proxies, based on their remarkable decision-making capability. However, existing …
human proxies, based on their remarkable decision-making capability. However, existing …
Longbench: A bilingual, multitask benchmark for long context understanding
Although large language models (LLMs) demonstrate impressive performance for many
language tasks, most of them can only handle texts a few thousand tokens long, limiting their …
language tasks, most of them can only handle texts a few thousand tokens long, limiting their …
Travelplanner: A benchmark for real-world planning with language agents
Planning has been part of the core pursuit for artificial intelligence since its conception, but
earlier AI agents mostly focused on constrained settings because many of the cognitive …
earlier AI agents mostly focused on constrained settings because many of the cognitive …
Infiagent-dabench: Evaluating agents on data analysis tasks
In this paper, we introduce InfiAgent-DABench, the first benchmark specifically designed to
evaluate LLM-based agents on data analysis tasks. These tasks require agents to end-to …
evaluate LLM-based agents on data analysis tasks. These tasks require agents to end-to …
Large language models are semi-parametric reinforcement learning agents
Inspired by the insights in cognitive science with respect to human memory and reasoning
mechanism, a novel evolvable LLM-based (Large Language Model) agent framework is …
mechanism, a novel evolvable LLM-based (Large Language Model) agent framework is …
The What, Why, and How of Context Length Extension Techniques in Large Language Models--A Detailed Survey
The advent of Large Language Models (LLMs) represents a notable breakthrough in Natural
Language Processing (NLP), contributing to substantial progress in both text …
Language Processing (NLP), contributing to substantial progress in both text …
Lv-eval: A balanced long-context benchmark with 5 length levels up to 256k
State-of-the-art large language models (LLMs) are now claiming remarkable supported
context lengths of 256k or even more. In contrast, the average context lengths of mainstream …
context lengths of 256k or even more. In contrast, the average context lengths of mainstream …
AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Recently, Large Language Model based Autonomous System (LLMAS) has gained great
popularity for its potential to simulate complicated behaviors of human societies. One of its …
popularity for its potential to simulate complicated behaviors of human societies. One of its …