LLM Agent

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis
CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

An LLM-driven multi-agent system for end-to-end single-cell and spatial transcriptomics analysis through natural language, combining hierarchical planning, expert tools, and self-reflective optimization.

Jan 4, 2026

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

FSD connects spatial visual reasoning with robotic action by generating structured intermediate representations that improve generalization on unseen manipulation tasks.

Jan 3, 2026

Benchmarking Continual Agent Memory for Online Learning, Transfer, and Forgetting

AgentMemoryBench is a unified benchmark for continual agent memory that measures improvement, retention, forgetting, transfer, and conflict resolution over time, together with a multi-memory baseline called MEMs.

Jan 2, 2026

AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search

AFE-Master introduces domain-specific language parsing with guided local search to strengthen LLM-driven autonomous feature engineering.

Jan 1, 2026

LLM Agent Tutorial
LLM Agent Tutorial

Public tutorial hub for learning LLM agents through guided concepts, practical examples, and companion reading materials.

Nov 17, 2025

Hands-on LLM-based Agents: A Tutorial for General Audiences

Beginner-friendly tutorial; foundations + nine examples + practical tips + frontier roadmap.

Nov 17, 2025

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models
From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models

A lightweight large language model inference framework that performs structured and fine-grained natural language reasoning without the need for complex search and external tools.

Aug 1, 2025

DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering

A dual-process framework that combines retrieval and reasoning to improve multi-hop question answering.

May 31, 2025

Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?

Analyzes mediator roles and decisive voices within multi-agent debate frameworks, revealing how influence shifts throughout deliberation.

Feb 15, 2025

SheetAgent: towards a generalist agent for spreadsheet reasoning and manipulation via large language models
SheetAgent: towards a generalist agent for spreadsheet reasoning and manipulation via large language models

SheetAgent is a generalist LLM agent for spreadsheet reasoning and manipulation across realistic multi-step spreadsheet tasks.

Jan 8, 2025