8. Synthetic Dataset Generation for RAG Evaluation with Multi-Agent Systems The paper proposes a modular, three-agent pipeline that auto-generates synthetic QA datasets for evaluating RAG systems while enforcing privacy.
MACHINE LEARNING
-
Parallel Graph-Retrieval-Augmented Reasoning for Medical Knowledge
By
–
5. Parallel Graph-Retrieval-Augmented Reasoning A test-time reasoning framework that replaces a single linear chain with multiple parallel, entity-grounded chains over medical knowledge graphs.
-
Evaluating Language Models on Real Unsolved Questions
By
–
7. Assessing Language Models on Unsolved Questions The paper introduces a new evaluation paradigm that tests models on real unsolved questions from the wild, rather than on fixed-answer exams.
-
Memory-based LLM Agent Fine-tuning Without Weight Updates
By
–
3. Fine-tuning LLM Agents without Fine-tuning LLMs A memory‑based learning framework that lets deep‑research agents adapt online without updating model weights.
-
Jet-Nemotron: Hybrid LLM Architecture with Optimized Attention
By
–
4. Jet-Nemotron A hybrid-architecture LM family: starting from a frozen full-attention model, the authors search for where to keep full attention, which linear-attention block to use, and which hyperparameters match hardware limits.
-
Deep Think with Confidence: Pruning Weak Reasoning Paths
By
–
2. Deep Think with Confidence
— DAIR.AI (@dair_ai) 31 août 2025
A lightweight test-time method that uses model-intrinsic confidence to prune weak reasoning paths, improving both accuracy and token efficiency for self-consistency ensembles.https://t.co/X9M1n0mKok2. Deep Think with Confidence A lightweight test-time method that uses model-intrinsic confidence to prune weak reasoning paths, improving both accuracy and token efficiency for self-consistency ensembles.
-
No Viable Model Explains Self-Driving AI This Way
By
–
That's because there is, in fact, no model of how self-driving AI works where this explanation makes sense.
-
PhD Dissertation on Recommender Systems and Interest Graph Methods
By
–
Amazing PhD Dissertation by my doctoral student Gary Roberson at @GeorgeMasonU @GMU_COS … "Recommender Systems – Interest Graph Computational Methods for Document Networks" See it at https://
mars.gmu.edu/items/babc28fb
-1da4-43cb-bee7-bd7e911b4505/full
… RIP Gary… https://
legacy.com/us/obituaries/
washingtonpost/name/gary-roberson-obituary?id=6104681
… -
Modern Python Cookbook 3rd Edition with 130+ Recipes Released
By
–
Modern #Python Cookbook (818 pages, 130+ recipes, 3rd Edition): https://
amzn.to/47l2lz1 v/ @PacktDataML ——————
#DataScience #DataScientist #Coding #AI #MachineLearning #ML #ComputationalScience #Simulation #Inference #Modeling -
Microsoft Power BI Cookbook: Convert Raw Data into Business Insights
By
–
Microsoft #PowerBI Cookbook — Convert raw data into business insights with updated techniques, use cases, & best practices: https://
amzn.to/4dkugPP v/ @PacktDataML (3rd ed)
—————
#DataAnalyst #DataScientist #DataScience #Analytics #DataAnalytics #MachineLearning #BI #CDO