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Mahmoudreza Babaei

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#artificial intelligence Preprint Sep 2026

From Attention Sensitivity to Layer Role: Revisiting Mixed-Precision Quantization of Transformers

This work defines one scalar loss over the joint Q, K, V weights of a block, evaluated against the block's real causally-masked attention output, and uses it twice: to fit the quantized weights, and to score the block for a multiple-choice knapsack allocation.

Nafiseh HosseinpourFardi, Negar Alihadi, Mahmoudreza Babaei et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Fair Fact-Checking: Closing the Cross-Lingual Gap in LLM Factual Judgement with RoSh

RoSh is proposed, a per-language shift and rotation of the residual stream, computed in closed form at three layers, with no training and no weight modified, that improves every model and closes 75% of the gap on average, helping most where the model was worst.

Muhammad Ahmad, Fatemeh Seyedin, Adrian Weller et al. · 0 citations
Preprint Aug 2026

Social Behavior Among Autonomous AI: How Large Language Models Interact in Dynamic Networks

Examination of the interactions of AI using Large Language Models using Mistral, Llama3, Gemma3, and Phi3 in a public goods game within dynamic network structures offers a preliminary framework for LLM-based simulations in adaptive social networks.

Narges Fardnia, Fatemeh Seyedin, Matthias Becker et al. · 1 citation
Preprint Aug 2026

The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical Games

LLMs are rapidly embedding themselves into daily life: drafting our emails, managing our schedules, and making decisions on our behalf. As they move from individual tools to participants in multi-agent organizations, an important question arises: do they reproduce the governance failures like free-riding, corruption, a...

Fatemeh Seyedin, Adrian Weller, Jinhyuk Yun et al. · 0 citations

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