Top 3 papers of the Week [Jan 26 - Jan 30, 2026] suggested by Genloop's LLM Research Hub.

🥇 GameTalk: Training LLMs for Strategic Conversation

The research introduces GameTalk, a framework for training LLMs to optimize strategic decision-making in multi-turn interactions using fine-tuning methods like DPO, GRPO, and STaR. It demonstrates improved reasoning, coordination, and negotiation capabilities in complex multi-agent environments.

Research Credits: Víctor Conchello Vendrell; Max R.; Max R.

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🥈 Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

The paper systematically reviews the transformative role of LLM-enhanced methods in data preparation, introducing a taxonomy of tasks and analyzing strengths, limitations, and future challenges. It emphasizes scalable systems, agentic workflows, and robust evaluation protocols for diverse applications.

Research Credits: Xiao-Feng WEI; Jun Zhou; Haoyu Wang; Zhenghao Li; Shaokun Han; Guoliang Li; Xuanhe Zhou; Yeye He; Chunwei Liu; Zirui Tang; Shen Tang; Kai Zuo; Yuyu Luo; Zhenzhe Zheng; Conghui He; Jingren Zhou; Fan Wu

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🥉 ECO: Quantized Training without Full-Precision Master Weights

The paper introduces the Error-Compensating Optimizer (ECO), a novel method for eliminating master weights in quantized LLM training, reducing memory overhead while maintaining near-lossless accuracy. Empirical results demonstrate its effectiveness across various model sizes and quantization precisions, advancing memory-efficient generative AI training.

Research Credits: Mahdi Nikdan; Amir Zandieh, PhD; Dan Alistarh; Vahab Mirrokni

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