Paper Introduction - Category - DataSci Ocean

Paper Introduction

2026

Stop Using Giant LLMs for Everything: Why NVIDIA Research Says Small Language Models (SLMs) Are the Future of AI Agents 01-19

Google's "Free Lunch" for LLMs: How Prompt Repetition Fixes Attention Bottlenecks with Zero Latency 01-19

Is RLHF Killing Creativity? How Verbalized Sampling Mitigates Mode Collapse and Unlocks LLM Diversity 01-03

Beyond Self-Consistency: How CER Boosts LLM Reasoning by Leveraging "Process Confidence" (ACL 2025) 01-03

2025

Stop AI Hallucinations Early: How Meta's DeepConf Uses Token Confidence to Cut Inference Costs by 80% 12-28

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

1
2