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 Paper Introduction

2025

rStar Deep Dive: How MCTS & Mutual Reasoning Boost LLaMA2-7B Accuracy from 12% to 64% Without Fine-tuning 12-10
Your Base Model Is Smarter Than You Think: How MCMC Sampling Can Outperform RL 12-02
Beyond Prompt Engineering: Inside Agentic Context Engineering, The Future of Self-Evolving AI 10-27
Dynamic Cheatsheet: The Secret to Self-Improving LLMs that Learn During Inference 10-15
Let AI Write Flawless SQL: A Deep Dive into the SQL-of-Thought Multi-Agent Framework 10-12
Beyond Top-k: How Adaptive-k Dynamically Selects the Best Context for RAG Without Latency 09-22
SENSE Explained: How Strong and Weak LLMs Achieve State-of-the-Art Text-to-SQL (ACL 2024) 09-15
MIRIX: Multi-Agent Memory System for LLM-Based Agents 07-17
Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search 07-06
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science 06-28
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA 06-28
OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning 06-02
Steering Large Language Models Between Code Execution and Textual Reasoning 05-25
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents 05-20
MemGPT: Towards LLMs as Operating Systems 05-18
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory 05-13
PLAN-AND-ACT: Improving Planning of Agents for Long-Horizon Tasks 05-11
HuatuoGPT-o1: Towards Medical Complex Reasoning with LLMs 01-31
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face 01-27
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records 01-26