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2025
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
The Concurrency Trap in FastAPI: From Race Conditions to Deadlocks with Global Variables
08-31
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
Intorduction to LangMem
05-06
HuatuoGPT-o1: Towards Medical Complex Reasoning with LLMs
01-31
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
01-27
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